diff --git "a/test.ipynb" "b/test.ipynb"
new file mode 100644--- /dev/null
+++ "b/test.ipynb"
@@ -0,0 +1,64184 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from ultralytics import YOLO"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "1/1: https://www.youtube.com/watch?v=dQw4w9WgXcQ... Success ✅ (5326 frames of shape 3840x2160 at 25.00 FPS)\n",
+ "\n",
+ "WARNING ⚠️ \n",
+ "inference results will accumulate in RAM unless `stream=True` is passed, causing potential out-of-memory\n",
+ "errors for large sources or long-running streams and videos. See https://docs.ultralytics.com/modes/predict/ for help.\n",
+ "\n",
+ "Example:\n",
+ " results = model(source=..., stream=True) # generator of Results objects\n",
+ " for r in results:\n",
+ " boxes = r.boxes # Boxes object for bbox outputs\n",
+ " masks = r.masks # Masks object for segment masks outputs\n",
+ " probs = r.probs # Class probabilities for classification outputs\n",
+ "\n",
+ "0: 384x640 1 person, 1 tie, 67.0ms\n",
+ "0: 384x640 1 person, 1 cell phone, 38.8ms\n",
+ "0: 384x640 1 person, 34.3ms\n",
+ "0: 384x640 1 vase, 73.5ms\n",
+ "0: 384x640 1 person, 68.8ms\n",
+ "0: 384x640 1 person, 45.3ms\n",
+ "0: 384x640 2 persons, 45.2ms\n",
+ "0: 384x640 1 person, 3 ties, 2 cell phones, 73.0ms\n",
+ "0: 384x640 1 person, 39.1ms\n",
+ "0: 384x640 1 person, 109.5ms\n",
+ "0: 384x640 1 person, 40.2ms\n",
+ "0: 384x640 1 person, 44.8ms\n",
+ "0: 384x640 1 person, 38.1ms\n",
+ "0: 384x640 1 person, 45.0ms\n",
+ "0: 384x640 1 tie, 32.4ms\n",
+ "0: 384x640 1 person, 1 tie, 64.9ms\n",
+ "0: 384x640 1 person, 39.7ms\n",
+ "0: 384x640 1 person, 48.6ms\n",
+ "0: 384x640 1 person, 37.1ms\n",
+ "0: 384x640 1 person, 43.0ms\n",
+ "0: 384x640 1 person, 64.2ms\n",
+ "0: 384x640 1 person, 90.3ms\n",
+ "0: 384x640 1 person, 90.3ms\n",
+ "0: 384x640 1 person, 33.1ms\n",
+ "0: 384x640 1 person, 53.3ms\n",
+ "0: 384x640 1 person, 49.3ms\n",
+ "0: 384x640 1 person, 37.5ms\n",
+ "0: 384x640 1 person, 28.6ms\n",
+ "0: 384x640 1 person, 39.6ms\n",
+ "0: 384x640 1 person, 53.2ms\n",
+ "0: 384x640 1 person, 27.3ms\n",
+ "0: 384x640 1 person, 61.1ms\n",
+ "0: 384x640 1 person, 55.4ms\n",
+ "0: 384x640 1 person, 38.5ms\n",
+ "0: 384x640 1 person, 73.5ms\n",
+ "0: 384x640 1 person, 116.1ms\n",
+ "0: 384x640 1 person, 1 baseball bat, 43.0ms\n",
+ "0: 384x640 1 person, 34.1ms\n",
+ "0: 384x640 1 person, 59.6ms\n",
+ "0: 384x640 1 person, 32.2ms\n",
+ "0: 384x640 1 person, 24.4ms\n",
+ "0: 384x640 1 person, 51.5ms\n",
+ "0: 384x640 1 person, 76.9ms\n",
+ "0: 384x640 1 person, 29.6ms\n",
+ "0: 384x640 1 person, 36.9ms\n",
+ "0: 384x640 1 person, 27.3ms\n",
+ "0: 384x640 1 person, 62.6ms\n",
+ "0: 384x640 1 person, 41.2ms\n",
+ "0: 384x640 1 person, 34.1ms\n",
+ "0: 384x640 1 person, 42.4ms\n",
+ "0: 384x640 1 person, 70.7ms\n",
+ "0: 384x640 1 person, 42.5ms\n",
+ "0: 384x640 1 person, 25.5ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 44.1ms\n",
+ "0: 384x640 1 person, 31.4ms\n",
+ "0: 384x640 1 person, 49.1ms\n",
+ "0: 384x640 1 person, 34.1ms\n",
+ "0: 384x640 1 person, 40.3ms\n",
+ "0: 384x640 1 person, 58.8ms\n",
+ "0: 384x640 1 person, 36.3ms\n",
+ "0: 384x640 1 person, 39.7ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 51.6ms\n",
+ "0: 384x640 1 person, 25.7ms\n",
+ "0: 384x640 1 person, 65.2ms\n",
+ "0: 384x640 1 person, 32.5ms\n",
+ "0: 384x640 1 person, 26.4ms\n",
+ "0: 384x640 1 person, 31.8ms\n",
+ "0: 384x640 1 person, 28.6ms\n",
+ "0: 384x640 1 person, 35.9ms\n",
+ "0: 384x640 1 person, 26.0ms\n",
+ "0: 384x640 1 person, 26.4ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 39.5ms\n",
+ "0: 384x640 1 bench, 31.0ms\n",
+ "0: 384x640 1 person, 25.6ms\n",
+ "0: 384x640 1 person, 1 bench, 29.9ms\n",
+ "0: 384x640 2 persons, 50.4ms\n",
+ "0: 384x640 1 person, 23.6ms\n",
+ "0: 384x640 1 person, 33.5ms\n",
+ "0: 384x640 1 person, 1 bench, 38.5ms\n",
+ "0: 384x640 1 person, 1 bench, 50.1ms\n",
+ "0: 384x640 1 person, 25.9ms\n",
+ "0: 384x640 1 person, 44.5ms\n",
+ "0: 384x640 1 person, 36.2ms\n",
+ "0: 384x640 1 person, 42.6ms\n",
+ "0: 384x640 1 person, 27.5ms\n",
+ "0: 384x640 1 person, 30.4ms\n",
+ "0: 384x640 1 person, 55.3ms\n",
+ "0: 384x640 1 person, 25.3ms\n",
+ "0: 384x640 1 person, 66.6ms\n",
+ "0: 384x640 1 person, 37.7ms\n",
+ "0: 384x640 1 person, 24.2ms\n",
+ "0: 384x640 1 person, 45.9ms\n",
+ "0: 384x640 1 person, 27.5ms\n",
+ "0: 384x640 1 person, 1 tie, 52.9ms\n",
+ "0: 384x640 1 person, 34.7ms\n",
+ "0: 384x640 1 person, 37.0ms\n",
+ "0: 384x640 1 person, 1 tie, 33.9ms\n",
+ "0: 384x640 1 person, 1 tie, 38.7ms\n",
+ "0: 384x640 1 person, 1 tie, 28.2ms\n",
+ "0: 384x640 1 person, 1 tie, 38.7ms\n",
+ "0: 384x640 1 person, 37.4ms\n",
+ "0: 384x640 1 person, 1 tie, 36.5ms\n",
+ "0: 384x640 1 person, 1 tie, 25.4ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 36.0ms\n",
+ "0: 384x640 1 person, 36.2ms\n",
+ "0: 384x640 1 person, 70.1ms\n",
+ "0: 384x640 1 person, 26.8ms\n",
+ "0: 384x640 1 person, 40.7ms\n",
+ "0: 384x640 1 person, 26.1ms\n",
+ "0: 384x640 1 person, 45.6ms\n",
+ "0: 384x640 1 person, 36.1ms\n",
+ "0: 384x640 1 person, 32.1ms\n",
+ "0: 384x640 1 person, 31.2ms\n",
+ "0: 384x640 1 person, 63.7ms\n",
+ "0: 384x640 1 person, 25.8ms\n",
+ "0: 384x640 1 person, 68.1ms\n",
+ "0: 384x640 1 person, 41.1ms\n",
+ "0: 384x640 1 person, 34.7ms\n",
+ "0: 384x640 1 person, 50.1ms\n",
+ "0: 384x640 1 person, 50.3ms\n",
+ "0: 384x640 1 person, 33.0ms\n",
+ "0: 384x640 1 person, 52.6ms\n",
+ "0: 384x640 1 person, 57.8ms\n",
+ "0: 384x640 1 person, 48.3ms\n",
+ "0: 384x640 1 person, 42.4ms\n",
+ "0: 384x640 1 person, 37.1ms\n",
+ "0: 384x640 1 person, 25.5ms\n",
+ "0: 384x640 1 person, 33.7ms\n",
+ "0: 384x640 1 person, 35.7ms\n",
+ "0: 384x640 1 person, 34.3ms\n",
+ "0: 384x640 1 person, 28.0ms\n",
+ "0: 384x640 1 person, 34.0ms\n",
+ "0: 384x640 1 person, 36.0ms\n",
+ "0: 384x640 1 person, 25.8ms\n",
+ "0: 384x640 1 person, 38.9ms\n",
+ "0: 384x640 1 person, 34.3ms\n",
+ "0: 384x640 1 person, 29.3ms\n",
+ "0: 384x640 1 person, 33.1ms\n",
+ "0: 384x640 1 person, 32.9ms\n",
+ "0: 384x640 1 person, 25.7ms\n",
+ "0: 384x640 1 person, 27.3ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 38.4ms\n",
+ "0: 384x640 (no detections), 40.7ms\n",
+ "0: 384x640 1 cat, 25.1ms\n",
+ "0: 384x640 1 cat, 44.0ms\n",
+ "0: 384x640 1 bird, 1 dog, 34.3ms\n",
+ "0: 384x640 1 person, 35.0ms\n",
+ "0: 384x640 1 person, 25.5ms\n",
+ "0: 384x640 1 person, 1 tie, 27.6ms\n",
+ "0: 384x640 1 person, 43.7ms\n",
+ "0: 384x640 1 person, 24.4ms\n",
+ "0: 384x640 1 person, 55.6ms\n",
+ "0: 384x640 1 person, 53.6ms\n",
+ "0: 384x640 1 person, 37.7ms\n",
+ "0: 384x640 1 person, 32.9ms\n",
+ "0: 384x640 1 person, 47.2ms\n",
+ "0: 384x640 1 person, 86.7ms\n",
+ "0: 384x640 1 person, 82.4ms\n",
+ "0: 384x640 1 person, 45.8ms\n",
+ "0: 384x640 1 person, 35.3ms\n",
+ "0: 384x640 1 person, 37.2ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 52.8ms\n",
+ "0: 384x640 1 person, 38.9ms\n",
+ "0: 384x640 1 person, 26.8ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 41.3ms\n",
+ "0: 384x640 1 person, 31.5ms\n",
+ "0: 384x640 1 person, 45.3ms\n",
+ "0: 384x640 1 person, 26.8ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 39.3ms\n",
+ "0: 384x640 1 person, 46.1ms\n",
+ "0: 384x640 1 person, 40.7ms\n",
+ "0: 384x640 1 person, 31.6ms\n",
+ "0: 384x640 1 person, 49.9ms\n",
+ "0: 384x640 1 person, 38.9ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 31.1ms\n",
+ "0: 384x640 1 person, 34.3ms\n",
+ "0: 384x640 1 person, 29.3ms\n",
+ "0: 384x640 1 person, 34.0ms\n",
+ "0: 384x640 1 person, 42.3ms\n",
+ "0: 384x640 1 person, 54.7ms\n",
+ "0: 384x640 1 person, 70.9ms\n",
+ "0: 384x640 1 person, 47.4ms\n",
+ "0: 384x640 1 person, 38.7ms\n",
+ "0: 384x640 1 person, 53.4ms\n",
+ "0: 384x640 1 person, 44.5ms\n",
+ "0: 384x640 1 person, 46.4ms\n",
+ "0: 384x640 1 person, 43.6ms\n",
+ "0: 384x640 1 person, 25.5ms\n",
+ "0: 384x640 1 person, 55.3ms\n",
+ "0: 384x640 1 person, 33.8ms\n",
+ "0: 384x640 1 person, 57.8ms\n",
+ "0: 384x640 1 person, 25.4ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 44.1ms\n",
+ "0: 384x640 1 person, 48.5ms\n",
+ "0: 384x640 1 person, 51.6ms\n",
+ "0: 384x640 1 person, 48.2ms\n",
+ "0: 384x640 1 person, 27.3ms\n",
+ "0: 384x640 1 person, 43.4ms\n",
+ "0: 384x640 1 person, 1 cat, 31.8ms\n",
+ "0: 384x640 1 person, 46.8ms\n",
+ "0: 384x640 1 person, 48.0ms\n",
+ "0: 384x640 1 person, 33.9ms\n",
+ "0: 384x640 1 person, 33.2ms\n",
+ "0: 384x640 1 person, 46.4ms\n",
+ "0: 384x640 1 person, 40.0ms\n",
+ "0: 384x640 1 person, 36.9ms\n",
+ "0: 384x640 1 person, 61.8ms\n",
+ "0: 384x640 1 person, 27.9ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 32.6ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 15 chairs, 10 dining tables, 46.9ms\n",
+ "0: 384x640 3 persons, 1 chair, 27.2ms\n",
+ "0: 384x640 3 persons, 1 chair, 1 potted plant, 38.7ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 1 chair, 1 potted plant, 24.8ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 2 persons, 2 chairs, 1 potted plant, 36.8ms\n",
+ "0: 384x640 3 persons, 2 chairs, 37.3ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 2 chairs, 32.0ms\n",
+ "0: 384x640 3 persons, 2 chairs, 35.3ms\n",
+ "0: 384x640 3 persons, 2 chairs, 24.8ms\n",
+ "0: 384x640 3 persons, 2 chairs, 42.9ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 2 chairs, 1 potted plant, 26.2ms\n",
+ "0: 384x640 3 persons, 2 chairs, 1 potted plant, 41.4ms\n",
+ "0: 384x640 3 persons, 2 chairs, 1 potted plant, 46.7ms\n",
+ "0: 384x640 3 persons, 2 chairs, 1 potted plant, 25.6ms\n",
+ "0: 384x640 3 persons, 2 chairs, 2 potted plants, 73.2ms\n",
+ "0: 384x640 1 person, 36.5ms\n",
+ "0: 384x640 1 person, 65.5ms\n",
+ "0: 384x640 1 person, 45.6ms\n",
+ "0: 384x640 1 person, 71.7ms\n",
+ "0: 384x640 1 person, 36.5ms\n",
+ "0: 384x640 1 person, 51.4ms\n",
+ "0: 384x640 1 person, 99.5ms\n",
+ "0: 384x640 1 person, 68.7ms\n",
+ "0: 384x640 1 person, 32.3ms\n",
+ "0: 384x640 1 person, 31.1ms\n",
+ "0: 384x640 1 person, 36.8ms\n",
+ "0: 384x640 2 persons, 43.2ms\n",
+ "0: 384x640 2 persons, 33.7ms\n",
+ "0: 384x640 2 persons, 35.0ms\n",
+ "0: 384x640 2 persons, 37.2ms\n",
+ "0: 384x640 2 persons, 38.5ms\n",
+ "0: 384x640 2 persons, 51.6ms\n",
+ "0: 384x640 2 persons, 31.8ms\n",
+ "0: 384x640 2 persons, 25.2ms\n",
+ "0: 384x640 2 persons, 1 tie, 62.2ms\n",
+ "0: 384x640 2 persons, 35.8ms\n",
+ "0: 384x640 2 persons, 1 tie, 61.8ms\n",
+ "0: 384x640 2 persons, 1 tie, 31.6ms\n",
+ "0: 384x640 2 persons, 1 tie, 25.1ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 57.1ms\n",
+ "0: 384x640 1 person, 60.4ms\n",
+ "0: 384x640 1 person, 25.0ms\n",
+ "0: 384x640 1 person, 47.1ms\n",
+ "0: 384x640 1 person, 48.9ms\n",
+ "0: 384x640 1 person, 24.5ms\n",
+ "0: 384x640 1 person, 1 cup, 58.7ms\n",
+ "0: 384x640 1 person, 1 cup, 49.5ms\n",
+ "0: 384x640 1 person, 1 bottle, 1 cup, 49.4ms\n",
+ "0: 384x640 1 person, 1 wine glass, 1 cup, 48.1ms\n",
+ "0: 384x640 1 person, 1 bottle, 1 cup, 37.6ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 2 wine glasss, 34.7ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 30.7ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 27.5ms\n",
+ "0: 384x640 3 persons, 25.8ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 35.5ms\n",
+ "0: 384x640 3 persons, 23.7ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 26.3ms\n",
+ "0: 384x640 3 persons, 33.8ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 2 persons, 54.3ms\n",
+ "0: 384x640 3 persons, 39.7ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 58.9ms\n",
+ "0: 384x640 3 persons, 37.8ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 37.3ms\n",
+ "0: 384x640 3 persons, 27.9ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 39.1ms\n",
+ "0: 384x640 3 persons, 36.2ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 54.9ms\n",
+ "0: 384x640 3 persons, 42.8ms\n",
+ "0: 384x640 3 persons, 55.8ms\n",
+ "0: 384x640 3 persons, 26.4ms\n",
+ "0: 384x640 3 persons, 38.7ms\n",
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+ "0: 384x640 1 bird, 28.4ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 bird, 43.1ms\n",
+ "0: 384x640 1 person, 2 ties, 39.2ms\n",
+ "0: 384x640 1 person, 26.4ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 41.0ms\n",
+ "0: 384x640 1 person, 36.1ms\n",
+ "0: 384x640 1 person, 29.6ms\n",
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+ "0: 384x640 1 person, 29.1ms\n",
+ "0: 384x640 1 person, 34.3ms\n",
+ "0: 384x640 1 person, 27.5ms\n",
+ "0: 384x640 1 person, 1 tie, 23.9ms\n",
+ "0: 384x640 1 person, 1 tie, 43.0ms\n",
+ "0: 384x640 1 person, 33.4ms\n",
+ "0: 384x640 1 person, 36.2ms\n",
+ "0: 384x640 1 person, 34.6ms\n",
+ "0: 384x640 1 person, 37.4ms\n",
+ "0: 384x640 1 person, 40.0ms\n",
+ "0: 384x640 1 person, 29.0ms\n",
+ "0: 384x640 1 person, 28.1ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 52.2ms\n",
+ "0: 384x640 1 person, 41.0ms\n",
+ "0: 384x640 1 person, 45.6ms\n",
+ "0: 384x640 1 person, 32.1ms\n",
+ "0: 384x640 1 person, 24.9ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 36.0ms\n",
+ "0: 384x640 1 person, 36.1ms\n",
+ "0: 384x640 1 person, 23.6ms\n",
+ "0: 384x640 1 person, 35.8ms\n",
+ "0: 384x640 1 person, 34.8ms\n",
+ "0: 384x640 1 person, 24.1ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 34.4ms\n",
+ "0: 384x640 1 person, 25.0ms\n",
+ "0: 384x640 1 person, 26.6ms\n",
+ "0: 384x640 1 person, 24.7ms\n",
+ "0: 384x640 1 person, 1 bench, 22.5ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 25.9ms\n",
+ "0: 384x640 1 person, 47.8ms\n",
+ "0: 384x640 1 person, 24.1ms\n",
+ "0: 384x640 1 person, 43.7ms\n",
+ "0: 384x640 1 person, 31.0ms\n",
+ "0: 384x640 1 person, 29.8ms\n",
+ "0: 384x640 1 person, 25.3ms\n",
+ "0: 384x640 1 person, 31.9ms\n",
+ "0: 384x640 1 person, 24.0ms\n",
+ "0: 384x640 1 person, 28.3ms\n",
+ "0: 384x640 1 person, 26.1ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 36.3ms\n",
+ "0: 384x640 1 person, 29.8ms\n",
+ "0: 384x640 1 person, 24.0ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 33.7ms\n",
+ "0: 384x640 1 person, 28.0ms\n",
+ "0: 384x640 1 person, 24.5ms\n",
+ "0: 384x640 2 persons, 45.0ms\n",
+ "0: 384x640 1 person, 32.5ms\n",
+ "0: 384x640 1 person, 33.6ms\n",
+ "0: 384x640 1 person, 24.4ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
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+ "0: 384x640 1 person, 1 refrigerator, 24.5ms\n",
+ "0: 384x640 1 person, 34.3ms\n",
+ "0: 384x640 1 person, 23.9ms\n",
+ "0: 384x640 1 person, 35.1ms\n",
+ "0: 384x640 1 person, 25.8ms\n",
+ "0: 384x640 1 person, 38.0ms\n",
+ "0: 384x640 1 person, 33.3ms\n",
+ "0: 384x640 1 person, 23.9ms\n",
+ "0: 384x640 1 person, 56.1ms\n",
+ "0: 384x640 1 person, 39.9ms\n",
+ "0: 384x640 1 person, 33.3ms\n",
+ "0: 384x640 1 person, 26.0ms\n",
+ "0: 384x640 1 person, 67.0ms\n",
+ "0: 384x640 1 person, 47.8ms\n",
+ "0: 384x640 1 person, 25.9ms\n",
+ "0: 384x640 1 person, 37.3ms\n",
+ "0: 384x640 1 person, 38.5ms\n",
+ "0: 384x640 1 person, 33.7ms\n",
+ "0: 384x640 1 person, 31.8ms\n",
+ "0: 384x640 1 person, 26.3ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 85.3ms\n",
+ "0: 384x640 1 person, 27.0ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 46.9ms\n",
+ "0: 384x640 1 person, 29.2ms\n",
+ "0: 384x640 1 person, 25.8ms\n",
+ "0: 384x640 1 person, 42.3ms\n",
+ "0: 384x640 1 person, 36.1ms\n",
+ "0: 384x640 1 person, 25.9ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 28.3ms\n",
+ "0: 384x640 1 person, 33.0ms\n",
+ "0: 384x640 1 person, 29.3ms\n",
+ "0: 384x640 1 person, 29.3ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 75.1ms\n",
+ "0: 384x640 1 person, 46.2ms\n",
+ "0: 384x640 1 person, 37.8ms\n",
+ "0: 384x640 1 person, 28.1ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 35.4ms\n",
+ "0: 384x640 1 person, 35.1ms\n",
+ "0: 384x640 1 person, 24.2ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 43.7ms\n",
+ "0: 384x640 1 person, 33.1ms\n",
+ "0: 384x640 1 person, 25.9ms\n",
+ "0: 384x640 1 person, 39.3ms\n",
+ "0: 384x640 1 person, 32.0ms\n",
+ "0: 384x640 1 person, 45.4ms\n",
+ "0: 384x640 1 person, 3 ties, 41.4ms\n",
+ "0: 384x640 1 person, 27.8ms\n",
+ "0: 384x640 1 person, 30.6ms\n",
+ "0: 384x640 1 person, 27.3ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 48.6ms\n",
+ "0: 384x640 1 person, 39.0ms\n",
+ "0: 384x640 1 person, 25.1ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 40.3ms\n",
+ "0: 384x640 1 person, 36.8ms\n",
+ "0: 384x640 1 person, 65.0ms\n",
+ "0: 384x640 1 person, 28.8ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 26.8ms\n",
+ "0: 384x640 1 person, 36.9ms\n",
+ "0: 384x640 1 person, 25.6ms\n",
+ "0: 384x640 1 person, 42.2ms\n",
+ "0: 384x640 1 person, 33.6ms\n",
+ "0: 384x640 1 person, 27.0ms\n",
+ "0: 384x640 1 person, 36.8ms\n",
+ "0: 384x640 1 person, 29.7ms\n",
+ "0: 384x640 1 person, 25.3ms\n",
+ "0: 384x640 1 person, 42.2ms\n",
+ "0: 384x640 1 person, 36.1ms\n",
+ "0: 384x640 1 person, 29.9ms\n",
+ "0: 384x640 1 cat, 1 dog, 29.0ms\n",
+ "0: 384x640 1 dog, 34.1ms\n",
+ "0: 384x640 1 dog, 25.8ms\n",
+ "0: 384x640 1 dog, 32.2ms\n",
+ "0: 384x640 1 skateboard, 26.5ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 dog, 36.0ms\n",
+ "0: 384x640 1 dog, 43.5ms\n",
+ "0: 384x640 1 bear, 30.5ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 dog, 39.4ms\n",
+ "0: 384x640 (no detections), 35.2ms\n",
+ "0: 384x640 1 dog, 27.2ms\n",
+ "0: 384x640 1 dog, 24.7ms\n",
+ "0: 384x640 1 dog, 33.7ms\n",
+ "0: 384x640 1 person, 32.7ms\n",
+ "0: 384x640 1 person, 43.1ms\n",
+ "0: 384x640 1 person, 32.6ms\n",
+ "0: 384x640 1 person, 29.7ms\n",
+ "0: 384x640 1 person, 29.7ms\n",
+ "0: 384x640 1 person, 34.0ms\n",
+ "0: 384x640 1 person, 26.5ms\n",
+ "0: 384x640 1 person, 35.3ms\n",
+ "0: 384x640 1 dog, 37.1ms\n",
+ "0: 384x640 1 dog, 26.8ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 dog, 1 skateboard, 35.8ms\n",
+ "0: 384x640 1 dog, 24.0ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 (no detections), 28.3ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 7 chairs, 4 potted plants, 1 dining table, 28.3ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 2 potted plants, 25.8ms\n",
+ "0: 384x640 3 persons, 2 potted plants, 24.0ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 2 potted plants, 28.9ms\n",
+ "0: 384x640 3 persons, 2 potted plants, 24.8ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 2 potted plants, 24.5ms\n",
+ "0: 384x640 3 persons, 2 potted plants, 27.0ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 2 potted plants, 45.4ms\n",
+ "0: 384x640 3 persons, 2 potted plants, 34.2ms\n",
+ "0: 384x640 3 persons, 2 potted plants, 24.3ms\n",
+ "0: 384x640 3 persons, 2 potted plants, 27.9ms\n",
+ "0: 384x640 3 persons, 2 potted plants, 25.2ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 2 potted plants, 35.1ms\n",
+ "0: 384x640 3 persons, 2 potted plants, 25.0ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 2 potted plants, 34.5ms\n",
+ "0: 384x640 3 persons, 2 potted plants, 28.1ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 2 potted plants, 24.6ms\n",
+ "0: 384x640 3 persons, 2 potted plants, 36.3ms\n",
+ "0: 384x640 3 persons, 2 potted plants, 25.6ms\n",
+ "0: 384x640 3 persons, 2 potted plants, 38.1ms\n",
+ "0: 384x640 3 persons, 2 potted plants, 40.1ms\n",
+ "0: 384x640 3 persons, 2 potted plants, 28.9ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 2 potted plants, 40.9ms\n",
+ "0: 384x640 3 persons, 1 potted plant, 31.2ms\n",
+ "0: 384x640 3 persons, 1 potted plant, 39.1ms\n",
+ "0: 384x640 3 persons, 1 potted plant, 25.2ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 1 potted plant, 35.0ms\n",
+ "0: 384x640 3 persons, 1 potted plant, 24.8ms\n",
+ "0: 384x640 3 persons, 1 chair, 1 potted plant, 31.2ms\n",
+ "0: 384x640 3 persons, 1 chair, 1 potted plant, 27.6ms\n",
+ "0: 384x640 1 person, 36.9ms\n",
+ "0: 384x640 1 person, 52.7ms\n",
+ "0: 384x640 1 person, 1 tie, 37.5ms\n",
+ "0: 384x640 1 person, 1 cell phone, 43.2ms\n",
+ "0: 384x640 1 person, 1 cell phone, 40.4ms\n",
+ "0: 384x640 1 person, 1 tie, 26.9ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 1 cell phone, 26.5ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 1 cell phone, 25.2ms\n",
+ "0: 384x640 3 persons, 1 chair, 2 potted plants, 29.0ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 1 potted plant, 25.3ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 1 potted plant, 1 dining table, 28.2ms\n",
+ "0: 384x640 3 persons, 1 chair, 1 potted plant, 30.7ms\n",
+ "0: 384x640 3 persons, 1 chair, 1 potted plant, 24.3ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 1 chair, 1 potted plant, 24.7ms\n",
+ "0: 384x640 3 persons, 1 potted plant, 1 dining table, 30.3ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 1 chair, 1 potted plant, 1 dining table, 26.8ms\n",
+ "0: 384x640 3 persons, 1 chair, 1 potted plant, 26.4ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 3 persons, 1 chair, 1 potted plant, 25.3ms\n",
+ "0: 384x640 3 persons, 1 chair, 1 potted plant, 29.7ms\n",
+ "0: 384x640 3 persons, 1 chair, 26.5ms\n",
+ "0: 384x640 3 persons, 1 chair, 28.9ms\n",
+ "0: 384x640 3 persons, 1 chair, 44.9ms\n",
+ "0: 384x640 1 person, 33.1ms\n",
+ "0: 384x640 1 person, 40.7ms\n",
+ "0: 384x640 1 person, 1 cell phone, 44.1ms\n",
+ "0: 384x640 1 person, 47.1ms\n",
+ "0: 384x640 1 person, 31.6ms\n",
+ "0: 384x640 1 person, 86.8ms\n",
+ "0: 384x640 1 person, 38.1ms\n",
+ "0: 384x640 1 person, 1 tie, 46.6ms\n",
+ "0: 384x640 1 person, 44.7ms\n",
+ "0: 384x640 1 person, 50.7ms\n",
+ "0: 384x640 1 person, 43.6ms\n",
+ "0: 384x640 1 person, 46.1ms\n",
+ "0: 384x640 1 person, 36.8ms\n",
+ "0: 384x640 1 person, 80.3ms\n",
+ "0: 384x640 1 person, 1 bird, 32.1ms\n",
+ "0: 384x640 1 person, 2 skateboards, 33.5ms\n",
+ "0: 384x640 1 person, 2 skateboards, 31.1ms\n",
+ "0: 384x640 1 person, 27.2ms\n",
+ "0: 384x640 1 person, 31.7ms\n",
+ "0: 384x640 1 person, 24.2ms\n",
+ "0: 384x640 1 person, 28.6ms\n",
+ "0: 384x640 1 person, 27.8ms\n",
+ "0: 384x640 1 person, 44.2ms\n",
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+ "0: 384x640 1 person, 27.4ms\n",
+ "0: 384x640 1 person, 37.0ms\n",
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+ "0: 384x640 1 person, 33.1ms\n",
+ "0: 384x640 1 person, 32.4ms\n",
+ "0: 384x640 1 person, 34.9ms\n",
+ "0: 384x640 1 person, 31.2ms\n",
+ "0: 384x640 1 person, 39.9ms\n",
+ "0: 384x640 1 person, 36.0ms\n",
+ "0: 384x640 1 person, 23.5ms\n",
+ "0: 384x640 1 person, 29.4ms\n",
+ "0: 384x640 1 person, 35.4ms\n",
+ "0: 384x640 1 person, 27.5ms\n",
+ "0: 384x640 1 person, 1 tie, 42.5ms\n",
+ "0: 384x640 1 person, 24.9ms\n",
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+ "0: 384x640 1 person, 35.0ms\n",
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+ "0: 384x640 1 person, 36.1ms\n",
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+ "0: 384x640 1 person, 27.6ms\n",
+ "0: 384x640 1 person, 42.1ms\n",
+ "0: 384x640 1 person, 25.3ms\n",
+ "0: 384x640 1 person, 30.7ms\n",
+ "0: 384x640 1 person, 35.4ms\n",
+ "0: 384x640 1 person, 24.7ms\n",
+ "0: 384x640 1 person, 36.1ms\n",
+ "0: 384x640 1 person, 35.1ms\n",
+ "0: 384x640 1 person, 23.9ms\n",
+ "0: 384x640 1 person, 33.1ms\n",
+ "0: 384x640 1 person, 31.1ms\n",
+ "0: 384x640 1 person, 37.3ms\n",
+ "0: 384x640 1 person, 31.1ms\n",
+ "0: 384x640 1 person, 33.7ms\n",
+ "0: 384x640 1 person, 32.4ms\n",
+ "0: 384x640 1 person, 29.7ms\n",
+ "0: 384x640 1 person, 24.2ms\n",
+ "0: 384x640 1 person, 36.1ms\n",
+ "0: 384x640 1 person, 31.0ms\n",
+ "0: 384x640 1 person, 33.3ms\n",
+ "0: 384x640 1 person, 29.3ms\n",
+ "0: 384x640 1 person, 35.8ms\n",
+ "0: 384x640 1 person, 33.0ms\n",
+ "0: 384x640 1 person, 35.2ms\n",
+ "0: 384x640 1 person, 32.0ms\n",
+ "0: 384x640 1 person, 31.2ms\n",
+ "0: 384x640 1 person, 27.6ms\n",
+ "0: 384x640 1 person, 24.3ms\n",
+ "0: 384x640 1 person, 1 tie, 31.0ms\n",
+ "0: 384x640 1 person, 28.2ms\n",
+ "0: 384x640 1 person, 28.0ms\n",
+ "0: 384x640 1 person, 36.7ms\n",
+ "0: 384x640 1 person, 29.3ms\n",
+ "0: 384x640 1 person, 35.8ms\n",
+ "0: 384x640 1 person, 24.5ms\n",
+ "0: 384x640 1 person, 23.8ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 89.0ms\n",
+ "0: 384x640 2 persons, 1 train, 31.1ms\n",
+ "0: 384x640 2 persons, 24.3ms\n",
+ "0: 384x640 2 persons, 40.1ms\n",
+ "0: 384x640 2 persons, 36.9ms\n",
+ "0: 384x640 2 persons, 27.1ms\n",
+ "0: 384x640 2 persons, 31.4ms\n",
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+ "0: 384x640 2 persons, 34.7ms\n",
+ "0: 384x640 2 persons, 25.4ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 2 persons, 41.7ms\n",
+ "0: 384x640 2 persons, 43.9ms\n",
+ "0: 384x640 1 person, 24.9ms\n",
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+ "0: 384x640 1 person, 27.7ms\n",
+ "0: 384x640 1 person, 26.7ms\n",
+ "0: 384x640 1 person, 25.6ms\n",
+ "0: 384x640 1 person, 24.8ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 45.1ms\n",
+ "0: 384x640 1 person, 36.1ms\n",
+ "0: 384x640 1 person, 41.6ms\n",
+ "0: 384x640 1 person, 24.8ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 38.1ms\n",
+ "0: 384x640 1 person, 29.2ms\n",
+ "0: 384x640 1 person, 22.6ms\n",
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+ "0: 384x640 1 person, 41.3ms\n",
+ "0: 384x640 1 person, 25.9ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 37.0ms\n",
+ "0: 384x640 1 person, 39.1ms\n",
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+ "WARNING ⚠️ Waiting for stream 0\n",
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+ "0: 384x640 1 person, 29.2ms\n",
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+ "0: 384x640 1 person, 30.5ms\n",
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+ "0: 384x640 1 person, 35.6ms\n",
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+ "0: 384x640 1 person, 1 stop sign, 30.2ms\n",
+ "0: 384x640 1 person, 31.7ms\n",
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+ "0: 384x640 1 person, 33.7ms\n",
+ "0: 384x640 1 person, 30.9ms\n",
+ "0: 384x640 1 person, 42.5ms\n",
+ "0: 384x640 1 person, 29.9ms\n",
+ "0: 384x640 1 person, 34.1ms\n",
+ "0: 384x640 1 person, 36.6ms\n",
+ "0: 384x640 1 person, 37.9ms\n",
+ "0: 384x640 1 person, 37.3ms\n",
+ "0: 384x640 1 person, 34.3ms\n",
+ "0: 384x640 1 person, 30.6ms\n",
+ "0: 384x640 1 person, 24.4ms\n",
+ "0: 384x640 1 person, 1 tie, 37.8ms\n",
+ "0: 384x640 1 person, 34.0ms\n",
+ "0: 384x640 1 person, 64.5ms\n",
+ "0: 384x640 1 person, 32.5ms\n",
+ "0: 384x640 1 person, 34.6ms\n",
+ "0: 384x640 1 person, 38.0ms\n",
+ "0: 384x640 1 person, 33.7ms\n",
+ "0: 384x640 1 person, 39.4ms\n",
+ "0: 384x640 1 person, 36.1ms\n",
+ "0: 384x640 1 person, 29.2ms\n",
+ "0: 384x640 1 person, 29.6ms\n",
+ "0: 384x640 1 person, 30.4ms\n",
+ "0: 384x640 1 person, 33.0ms\n",
+ "0: 384x640 1 person, 26.2ms\n",
+ "0: 384x640 1 person, 28.1ms\n",
+ "0: 384x640 1 person, 32.0ms\n",
+ "0: 384x640 1 person, 45.1ms\n",
+ "0: 384x640 1 person, 36.9ms\n",
+ "0: 384x640 1 person, 33.8ms\n",
+ "0: 384x640 1 person, 31.7ms\n",
+ "0: 384x640 1 person, 31.3ms\n",
+ "0: 384x640 1 person, 32.8ms\n",
+ "0: 384x640 1 person, 42.5ms\n",
+ "0: 384x640 1 person, 43.3ms\n",
+ "0: 384x640 1 person, 40.5ms\n",
+ "0: 384x640 1 person, 33.2ms\n",
+ "0: 384x640 1 person, 33.8ms\n",
+ "0: 384x640 1 person, 30.9ms\n",
+ "0: 384x640 1 person, 46.2ms\n",
+ "0: 384x640 1 person, 43.2ms\n",
+ "0: 384x640 1 person, 41.9ms\n",
+ "0: 384x640 (no detections), 33.9ms\n",
+ "WARNING ⚠️ not enough matching points\n",
+ "0: 384x640 (no detections), 36.3ms\n",
+ "0: 384x640 (no detections), 38.9ms\n",
+ "0: 384x640 (no detections), 31.1ms\n",
+ "0: 384x640 (no detections), 33.5ms\n",
+ "0: 384x640 (no detections), 29.1ms\n",
+ "0: 384x640 (no detections), 24.1ms\n",
+ "0: 384x640 (no detections), 27.9ms\n",
+ "Speed: 2.0ms preprocess, 37.2ms inference, 0.8ms postprocess per image at shape (1, 3, 384, 640)\n"
+ ]
+ }
+ ],
+ "source": [
+ "model = YOLO(\"yolo11n.pt\") # Load an official Detect model\n",
+ "\n",
+ "# Perform tracking with the model\n",
+ "results = model.track(\"https://www.youtube.com/watch?v=dQw4w9WgXcQ\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[ultralytics.engine.results.Results object with attributes:\n",
+ " \n",
+ " boxes: ultralytics.engine.results.Boxes object\n",
+ " keypoints: None\n",
+ " masks: None\n",
+ " names: {0: 'person', 1: 'bicycle', 2: 'car', 3: 'motorcycle', 4: 'airplane', 5: 'bus', 6: 'train', 7: 'truck', 8: 'boat', 9: 'traffic light', 10: 'fire hydrant', 11: 'stop sign', 12: 'parking meter', 13: 'bench', 14: 'bird', 15: 'cat', 16: 'dog', 17: 'horse', 18: 'sheep', 19: 'cow', 20: 'elephant', 21: 'bear', 22: 'zebra', 23: 'giraffe', 24: 'backpack', 25: 'umbrella', 26: 'handbag', 27: 'tie', 28: 'suitcase', 29: 'frisbee', 30: 'skis', 31: 'snowboard', 32: 'sports ball', 33: 'kite', 34: 'baseball bat', 35: 'baseball glove', 36: 'skateboard', 37: 'surfboard', 38: 'tennis racket', 39: 'bottle', 40: 'wine glass', 41: 'cup', 42: 'fork', 43: 'knife', 44: 'spoon', 45: 'bowl', 46: 'banana', 47: 'apple', 48: 'sandwich', 49: 'orange', 50: 'broccoli', 51: 'carrot', 52: 'hot dog', 53: 'pizza', 54: 'donut', 55: 'cake', 56: 'chair', 57: 'couch', 58: 'potted plant', 59: 'bed', 60: 'dining table', 61: 'toilet', 62: 'tv', 63: 'laptop', 64: 'mouse', 65: 'remote', 66: 'keyboard', 67: 'cell phone', 68: 'microwave', 69: 'oven', 70: 'toaster', 71: 'sink', 72: 'refrigerator', 73: 'book', 74: 'clock', 75: 'vase', 76: 'scissors', 77: 'teddy bear', 78: 'hair drier', 79: 'toothbrush'}\n",
+ " obb: None\n",
+ " orig_img: array([[[0, 0, 0],\n",
+ " [0, 0, 0],\n",
+ " [0, 0, 0],\n",
+ " ...,\n",
+ " [0, 0, 0],\n",
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+ " [0, 0, 0]]], shape=(2160, 3840, 3), dtype=uint8)\n",
+ " orig_shape: (2160, 3840)\n",
+ " path: 'https___www.youtube.com_watch_v_dQw4w9WgXcQ'\n",
+ " probs: None\n",
+ " save_dir: 'runs/detect/track'\n",
+ " speed: {'preprocess': 6.455541995819658, 'inference': 67.01366699417122, 'postprocess': 0.8945410081651062},\n",
+ " ultralytics.engine.results.Results object with attributes:\n",
+ " \n",
+ " boxes: ultralytics.engine.results.Boxes object\n",
+ " keypoints: None\n",
+ " masks: None\n",
+ " names: {0: 'person', 1: 'bicycle', 2: 'car', 3: 'motorcycle', 4: 'airplane', 5: 'bus', 6: 'train', 7: 'truck', 8: 'boat', 9: 'traffic light', 10: 'fire hydrant', 11: 'stop sign', 12: 'parking meter', 13: 'bench', 14: 'bird', 15: 'cat', 16: 'dog', 17: 'horse', 18: 'sheep', 19: 'cow', 20: 'elephant', 21: 'bear', 22: 'zebra', 23: 'giraffe', 24: 'backpack', 25: 'umbrella', 26: 'handbag', 27: 'tie', 28: 'suitcase', 29: 'frisbee', 30: 'skis', 31: 'snowboard', 32: 'sports ball', 33: 'kite', 34: 'baseball bat', 35: 'baseball glove', 36: 'skateboard', 37: 'surfboard', 38: 'tennis racket', 39: 'bottle', 40: 'wine glass', 41: 'cup', 42: 'fork', 43: 'knife', 44: 'spoon', 45: 'bowl', 46: 'banana', 47: 'apple', 48: 'sandwich', 49: 'orange', 50: 'broccoli', 51: 'carrot', 52: 'hot dog', 53: 'pizza', 54: 'donut', 55: 'cake', 56: 'chair', 57: 'couch', 58: 'potted plant', 59: 'bed', 60: 'dining table', 61: 'toilet', 62: 'tv', 63: 'laptop', 64: 'mouse', 65: 'remote', 66: 'keyboard', 67: 'cell phone', 68: 'microwave', 69: 'oven', 70: 'toaster', 71: 'sink', 72: 'refrigerator', 73: 'book', 74: 'clock', 75: 'vase', 76: 'scissors', 77: 'teddy bear', 78: 'hair drier', 79: 'toothbrush'}\n",
+ " obb: None\n",
+ " orig_img: array([[[0, 0, 0],\n",
+ " [0, 0, 0],\n",
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+ " [0, 0, 0]]], shape=(2160, 3840, 3), dtype=uint8)\n",
+ " orig_shape: (2160, 3840)\n",
+ " path: 'https___www.youtube.com_watch_v_dQw4w9WgXcQ'\n",
+ " probs: None\n",
+ " save_dir: 'runs/detect/track'\n",
+ " speed: {'preprocess': 1.6350839869119227, 'inference': 38.75716699985787, 'postprocess': 0.6935839774087071},\n",
+ " ultralytics.engine.results.Results object with attributes:\n",
+ " \n",
+ " boxes: ultralytics.engine.results.Boxes object\n",
+ " keypoints: None\n",
+ " masks: None\n",
+ " names: {0: 'person', 1: 'bicycle', 2: 'car', 3: 'motorcycle', 4: 'airplane', 5: 'bus', 6: 'train', 7: 'truck', 8: 'boat', 9: 'traffic light', 10: 'fire hydrant', 11: 'stop sign', 12: 'parking meter', 13: 'bench', 14: 'bird', 15: 'cat', 16: 'dog', 17: 'horse', 18: 'sheep', 19: 'cow', 20: 'elephant', 21: 'bear', 22: 'zebra', 23: 'giraffe', 24: 'backpack', 25: 'umbrella', 26: 'handbag', 27: 'tie', 28: 'suitcase', 29: 'frisbee', 30: 'skis', 31: 'snowboard', 32: 'sports ball', 33: 'kite', 34: 'baseball bat', 35: 'baseball glove', 36: 'skateboard', 37: 'surfboard', 38: 'tennis racket', 39: 'bottle', 40: 'wine glass', 41: 'cup', 42: 'fork', 43: 'knife', 44: 'spoon', 45: 'bowl', 46: 'banana', 47: 'apple', 48: 'sandwich', 49: 'orange', 50: 'broccoli', 51: 'carrot', 52: 'hot dog', 53: 'pizza', 54: 'donut', 55: 'cake', 56: 'chair', 57: 'couch', 58: 'potted plant', 59: 'bed', 60: 'dining table', 61: 'toilet', 62: 'tv', 63: 'laptop', 64: 'mouse', 65: 'remote', 66: 'keyboard', 67: 'cell phone', 68: 'microwave', 69: 'oven', 70: 'toaster', 71: 'sink', 72: 'refrigerator', 73: 'book', 74: 'clock', 75: 'vase', 76: 'scissors', 77: 'teddy bear', 78: 'hair drier', 79: 'toothbrush'}\n",
+ " obb: None\n",
+ " orig_img: array([[[0, 0, 0],\n",
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+ " keypoints: None\n",
+ " masks: None\n",
+ " names: {0: 'person', 1: 'bicycle', 2: 'car', 3: 'motorcycle', 4: 'airplane', 5: 'bus', 6: 'train', 7: 'truck', 8: 'boat', 9: 'traffic light', 10: 'fire hydrant', 11: 'stop sign', 12: 'parking meter', 13: 'bench', 14: 'bird', 15: 'cat', 16: 'dog', 17: 'horse', 18: 'sheep', 19: 'cow', 20: 'elephant', 21: 'bear', 22: 'zebra', 23: 'giraffe', 24: 'backpack', 25: 'umbrella', 26: 'handbag', 27: 'tie', 28: 'suitcase', 29: 'frisbee', 30: 'skis', 31: 'snowboard', 32: 'sports ball', 33: 'kite', 34: 'baseball bat', 35: 'baseball glove', 36: 'skateboard', 37: 'surfboard', 38: 'tennis racket', 39: 'bottle', 40: 'wine glass', 41: 'cup', 42: 'fork', 43: 'knife', 44: 'spoon', 45: 'bowl', 46: 'banana', 47: 'apple', 48: 'sandwich', 49: 'orange', 50: 'broccoli', 51: 'carrot', 52: 'hot dog', 53: 'pizza', 54: 'donut', 55: 'cake', 56: 'chair', 57: 'couch', 58: 'potted plant', 59: 'bed', 60: 'dining table', 61: 'toilet', 62: 'tv', 63: 'laptop', 64: 'mouse', 65: 'remote', 66: 'keyboard', 67: 'cell phone', 68: 'microwave', 69: 'oven', 70: 'toaster', 71: 'sink', 72: 'refrigerator', 73: 'book', 74: 'clock', 75: 'vase', 76: 'scissors', 77: 'teddy bear', 78: 'hair drier', 79: 'toothbrush'}\n",
+ " obb: None\n",
+ " orig_img: array([[[0, 0, 0],\n",
+ " [0, 0, 0],\n",
+ " [0, 0, 0],\n",
+ " ...,\n",
+ " [0, 0, 0],\n",
+ " [0, 0, 0],\n",
+ " [0, 0, 0]],\n",
+ " \n",
+ " [[0, 0, 0],\n",
+ " [0, 0, 0],\n",
+ " [0, 0, 0],\n",
+ " ...,\n",
+ " [0, 0, 0],\n",
+ " [0, 0, 0],\n",
+ " [0, 0, 0]],\n",
+ " \n",
+ " [[0, 0, 0],\n",
+ " [0, 0, 0],\n",
+ " [0, 0, 0],\n",
+ " ...,\n",
+ " [0, 0, 0],\n",
+ " [0, 0, 0],\n",
+ " [0, 0, 0]],\n",
+ " \n",
+ " ...,\n",
+ " \n",
+ " [[0, 0, 0],\n",
+ " [0, 0, 0],\n",
+ " [0, 0, 0],\n",
+ " ...,\n",
+ " [0, 0, 0],\n",
+ " [0, 0, 0],\n",
+ " [0, 0, 0]],\n",
+ " \n",
+ " [[0, 0, 0],\n",
+ " [0, 0, 0],\n",
+ " [0, 0, 0],\n",
+ " ...,\n",
+ " [0, 0, 0],\n",
+ " [0, 0, 0],\n",
+ " [0, 0, 0]],\n",
+ " \n",
+ " [[0, 0, 0],\n",
+ " [0, 0, 0],\n",
+ " [0, 0, 0],\n",
+ " ...,\n",
+ " [0, 0, 0],\n",
+ " [0, 0, 0],\n",
+ " [0, 0, 0]]], shape=(2160, 3840, 3), dtype=uint8)\n",
+ " orig_shape: (2160, 3840)\n",
+ " path: 'https___www.youtube.com_watch_v_dQw4w9WgXcQ'\n",
+ " probs: None\n",
+ " save_dir: 'runs/detect/track'\n",
+ " speed: {'preprocess': 1.3470420090015978, 'inference': 33.754584001144394, 'postprocess': 0.5131249781697989},\n",
+ " ...]"
+ ]
+ },
+ "execution_count": 14,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "ename": "",
+ "evalue": "",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[1;31mThe Kernel crashed while executing code in the current cell or a previous cell. \n",
+ "\u001b[1;31mPlease review the code in the cell(s) to identify a possible cause of the failure. \n",
+ "\u001b[1;31mClick here for more info. \n",
+ "\u001b[1;31mView Jupyter log for further details."
+ ]
+ }
+ ],
+ "source": [
+ "results"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Collecting youtube-transcript-api\n",
+ " Downloading youtube_transcript_api-1.1.0-py3-none-any.whl.metadata (23 kB)\n",
+ "Requirement already satisfied: defusedxml<0.8.0,>=0.7.1 in /Users/thivyeshahilathasan/Documents/AgentCourseHF/.venv/lib/python3.12/site-packages (from youtube-transcript-api) (0.7.1)\n",
+ "Requirement already satisfied: requests in /Users/thivyeshahilathasan/Documents/AgentCourseHF/.venv/lib/python3.12/site-packages (from youtube-transcript-api) (2.32.3)\n",
+ "Requirement already satisfied: charset-normalizer<4,>=2 in /Users/thivyeshahilathasan/Documents/AgentCourseHF/.venv/lib/python3.12/site-packages (from requests->youtube-transcript-api) (3.4.1)\n",
+ "Requirement already satisfied: idna<4,>=2.5 in /Users/thivyeshahilathasan/Documents/AgentCourseHF/.venv/lib/python3.12/site-packages (from requests->youtube-transcript-api) (3.10)\n",
+ "Requirement already satisfied: urllib3<3,>=1.21.1 in /Users/thivyeshahilathasan/Documents/AgentCourseHF/.venv/lib/python3.12/site-packages (from requests->youtube-transcript-api) (2.3.0)\n",
+ "Requirement already satisfied: certifi>=2017.4.17 in /Users/thivyeshahilathasan/Documents/AgentCourseHF/.venv/lib/python3.12/site-packages (from requests->youtube-transcript-api) (2025.6.15)\n",
+ "Downloading youtube_transcript_api-1.1.0-py3-none-any.whl (485 kB)\n",
+ "Installing collected packages: youtube-transcript-api\n",
+ "Successfully installed youtube-transcript-api-1.1.0\n",
+ "\n",
+ "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.3.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m25.1.1\u001b[0m\n",
+ "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
+ "Note: you may need to restart the kernel to use updated packages.\n"
+ ]
+ }
+ ],
+ "source": [
+ "%pip install youtube-transcript-api"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from langchain_core.tools import tool\n",
+ "from youtube_transcript_api import YouTubeTranscriptApi\n",
+ "import re\n",
+ "\n",
+ "@tool\n",
+ "def get_youtube_transcript(url: str) -> str:\n",
+ " \"\"\"Get transcript from a YouTube video URL.\"\"\"\n",
+ " try:\n",
+ " # Extract video ID from URL\n",
+ " video_id_match = re.search(r'(?:v=|\\/)([0-9A-Za-z_-]{11}).*', url)\n",
+ " if not video_id_match:\n",
+ " return \"Error: Could not extract video ID from URL\"\n",
+ " \n",
+ " video_id = video_id_match.group(1)\n",
+ " \n",
+ " # Get transcript\n",
+ " transcript = YouTubeTranscriptApi.get_transcript(video_id)\n",
+ " \n",
+ " # Combine all text\n",
+ " full_text = \" \".join([entry['text'] for entry in transcript])\n",
+ " \n",
+ " return full_text\n",
+ " \n",
+ " except Exception as e:\n",
+ " return f\"Error getting transcript: {str(e)}\""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/var/folders/qc/vd4slr4564qd07q1f_1dnk900000gn/T/ipykernel_71183/4059608339.py:1: LangChainDeprecationWarning: The method `BaseTool.__call__` was deprecated in langchain-core 0.1.47 and will be removed in 1.0. Use :meth:`~invoke` instead.\n",
+ " get_youtube_transcript(\"https://www.youtube.com/watch?v=dQw4w9WgXcQ\")\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "\"[♪♪♪] ♪ We're no strangers to love ♪ ♪ You know the rules\\nand so do I ♪ ♪ A full commitment's\\nwhat I'm thinking of ♪ ♪ You wouldn't get this\\nfrom any other guy ♪ ♪ I just wanna tell you\\nhow I'm feeling ♪ ♪ Gotta make you understand ♪ ♪ Never gonna give you up ♪ ♪ Never gonna let you down ♪ ♪ Never gonna run around\\nand desert you ♪ ♪ Never gonna make you cry ♪ ♪ Never gonna say goodbye ♪ ♪ Never gonna tell a lie\\nand hurt you ♪ ♪ We've known each other\\nfor so long ♪ ♪ Your heart's been aching\\nbut you're too shy to say it ♪ ♪ Inside we both know\\nwhat's been going ♪ ♪ We know the game\\nand we're gonna play it ♪ ♪ And if you ask me\\nhow I'm feeling ♪ ♪ Don't tell me\\nyou're too blind to see ♪ ♪ Never gonna give you up ♪ ♪ Never gonna let you down ♪ ♪ Never gonna run around\\nand desert you ♪ ♪ Never gonna make you cry ♪ ♪ Never gonna say goodbye ♪ ♪ Never gonna tell a lie\\nand hurt you ♪ ♪ Never gonna give you up ♪ ♪ Never gonna let you down ♪ ♪ Never gonna run around\\nand desert you ♪ ♪ Never gonna make you cry ♪ ♪ Never gonna say goodbye ♪ ♪ Never gonna tell a lie\\nand hurt you ♪ ♪ (Ooh, give you up) ♪ ♪ (Ooh, give you up) ♪ ♪ Never gonna give,\\nnever gonna give ♪ ♪ (Give you up) ♪ ♪ Never gonna give,\\nnever gonna give ♪ ♪ (Give you up) ♪ ♪ We've known each other\\nfor so long ♪ ♪ Your heart's been aching\\nbut you're too shy to say it ♪ ♪ Inside we both know\\nwhat's been going ♪ ♪ We know the game\\nand we're gonna play it ♪ ♪ I just wanna tell you\\nhow I'm feeling ♪ ♪ Gotta make you understand ♪ ♪ Never gonna give you up ♪ ♪ Never gonna let you down ♪ ♪ Never gonna run around\\nand desert you ♪ ♪ Never gonna make you cry ♪ ♪ Never gonna say goodbye ♪ ♪ Never gonna tell a lie\\nand hurt you ♪ ♪ Never gonna give you up ♪ ♪ Never gonna let you down ♪ ♪ Never gonna run around\\nand desert you ♪ ♪ Never gonna make you cry ♪ ♪ Never gonna say goodbye ♪ ♪ Never gonna tell a lie\\nand hurt you ♪ ♪ Never gonna give you up ♪ ♪ Never gonna let you down ♪ ♪ Never gonna run around\\nand desert you ♪ ♪ Never gonna make you cry ♪ ♪ Never gonna say goodbye ♪ ♪ Never gonna tell a lie\\nand hurt you ♪\""
+ ]
+ },
+ "execution_count": 3,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "get_youtube_transcript(\"https://www.youtube.com/watch?v=dQw4w9WgXcQ\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import json\n",
+ "\n",
+ "# Video analysis tools\n",
+ "@tool\n",
+ "def analyze_video_objects(video_url: str) -> str:\n",
+ " \"\"\"Analyze objects and visual content in a YouTube video.\"\"\"\n",
+ " try:\n",
+ " from ultralytics import YOLO\n",
+ " \n",
+ " model = YOLO(\"yolo11n.pt\") # Load an official Detect model\n",
+ " results = model.track(video_url)\n",
+ " \n",
+ " # Track objects across frames\n",
+ " frame_objects = []\n",
+ " for i, result in enumerate(results):\n",
+ " if result.boxes is not None:\n",
+ " objects_in_frame = []\n",
+ " for j in range(len(result.boxes)):\n",
+ " class_name = result.names[int(result.boxes.cls[j].item())]\n",
+ " confidence = float(result.boxes.conf[j].item())\n",
+ " if confidence > 0.5: # Only high confidence detections\n",
+ " objects_in_frame.append(class_name)\n",
+ " \n",
+ " frame_objects.append({\n",
+ " \"frame\": i,\n",
+ " \"objects\": objects_in_frame,\n",
+ " \"unique_objects\": list(set(objects_in_frame))\n",
+ " })\n",
+ " \n",
+ " return json.dumps(frame_objects, indent=2)\n",
+ " \n",
+ " except Exception as e:\n",
+ " return f\"Error analyzing video: {str(e)}\"\n",
+ "\n",
+ "@tool\n",
+ "def get_youtube_transcript(video_url: str) -> str:\n",
+ " \"\"\"Get transcript from a YouTube video.\"\"\"\n",
+ " try:\n",
+ " from youtube_transcript_api import YouTubeTranscriptApi\n",
+ " import re\n",
+ " \n",
+ " # Extract video ID\n",
+ " video_id_match = re.search(r'(?:v=|\\/)([0-9A-Za-z_-]{11}).*', video_url)\n",
+ " if not video_id_match:\n",
+ " return \"Error: Could not extract video ID\"\n",
+ " \n",
+ " video_id = video_id_match.group(1)\n",
+ " transcript = YouTubeTranscriptApi.get_transcript(video_id)\n",
+ " \n",
+ " # Format with timestamps\n",
+ " formatted_transcript = []\n",
+ " for entry in transcript:\n",
+ " formatted_transcript.append({\n",
+ " \"start\": entry['start'],\n",
+ " \"duration\": entry['duration'], \n",
+ " \"text\": entry['text']\n",
+ " })\n",
+ " \n",
+ " return json.dumps(formatted_transcript, indent=2)\n",
+ " \n",
+ " except Exception as e:\n",
+ " return f\"Error getting transcript: {str(e)}\"\n",
+ "\n",
+ "# Create video analysis agents\n",
+ "video_agent = create_react_agent(\n",
+ " model=llm,\n",
+ " tools=[analyze_video_objects],\n",
+ " name=\"video_analyzer\",\n",
+ " prompt=\"You analyze visual content in videos. Use tools to detect and track objects.\"\n",
+ ")\n",
+ "\n",
+ "transcript_agent = create_react_agent(\n",
+ " model=llm,\n",
+ " tools=[get_youtube_transcript],\n",
+ " name=\"transcript_analyzer\", \n",
+ " prompt=\"You analyze audio/speech content in videos. Use tools to get transcripts.\"\n",
+ ")\n",
+ "\n",
+ "# Video supervisor\n",
+ "video_supervisor = create_supervisor(\n",
+ " [video_agent, transcript_agent],\n",
+ " model=llm,\n",
+ " prompt=\"You coordinate video_analyzer and transcript_analyzer to answer questions about YouTube videos. Use video_analyzer for visual questions (objects, people, actions). Use transcript_analyzer for audio questions (what people say).\"\n",
+ ").compile()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "1/1: https://www.youtube.com/watch?v=dQw4w9WgXcQ... Success ✅ (5326 frames of shape 3840x2160 at 25.00 FPS)\n",
+ "\n",
+ "WARNING ⚠️ \n",
+ "inference results will accumulate in RAM unless `stream=True` is passed, causing potential out-of-memory\n",
+ "errors for large sources or long-running streams and videos. See https://docs.ultralytics.com/modes/predict/ for help.\n",
+ "\n",
+ "Example:\n",
+ " results = model(source=..., stream=True) # generator of Results objects\n",
+ " for r in results:\n",
+ " boxes = r.boxes # Boxes object for bbox outputs\n",
+ " masks = r.masks # Masks object for segment masks outputs\n",
+ " probs = r.probs # Class probabilities for classification outputs\n",
+ "\n",
+ "0: 384x640 1 person, 1 tie, 46.5ms\n",
+ "0: 384x640 1 person, 1 cell phone, 46.5ms\n",
+ "0: 384x640 1 person, 69.0ms\n",
+ "0: 384x640 1 person, 59.1ms\n",
+ "0: 384x640 1 person, 36.4ms\n",
+ "0: 384x640 1 person, 69.8ms\n",
+ "0: 384x640 2 persons, 69.0ms\n",
+ "0: 384x640 1 person, 5 ties, 2 cell phones, 79.2ms\n",
+ "0: 384x640 1 person, 87.6ms\n",
+ "0: 384x640 1 person, 119.8ms\n",
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+ "0: 384x640 1 person, 84.8ms\n",
+ "0: 384x640 1 person, 41.8ms\n",
+ "0: 384x640 1 person, 56.5ms\n",
+ "0: 384x640 1 person, 44.8ms\n",
+ "0: 384x640 2 persons, 56.3ms\n",
+ "0: 384x640 1 person, 45.5ms\n",
+ "0: 384x640 1 person, 44.1ms\n",
+ "0: 384x640 1 person, 2 bananas, 41.5ms\n",
+ "0: 384x640 1 person, 40.4ms\n",
+ "0: 384x640 1 horse, 36.6ms\n",
+ "0: 384x640 1 person, 44.1ms\n",
+ "0: 384x640 1 person, 37.9ms\n",
+ "0: 384x640 1 person, 26.1ms\n",
+ "0: 384x640 1 person, 41.2ms\n",
+ "0: 384x640 1 person, 33.0ms\n",
+ "0: 384x640 1 person, 37.0ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 42.9ms\n",
+ "0: 384x640 1 person, 1 sports ball, 1 baseball bat, 58.6ms\n",
+ "0: 384x640 1 person, 26.9ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 51.0ms\n",
+ "0: 384x640 1 person, 50.9ms\n",
+ "0: 384x640 1 person, 42.4ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 24.5ms\n",
+ "0: 384x640 1 person, 43.5ms\n",
+ "0: 384x640 1 person, 47.9ms\n",
+ "0: 384x640 1 person, 26.6ms\n",
+ "0: 384x640 1 person, 58.1ms\n",
+ "0: 384x640 1 person, 39.1ms\n",
+ "0: 384x640 1 person, 27.9ms\n",
+ "0: 384x640 1 person, 39.0ms\n",
+ "0: 384x640 1 person, 40.0ms\n",
+ "0: 384x640 1 person, 25.9ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 38.0ms\n",
+ "0: 384x640 2 persons, 27.8ms\n",
+ "0: 384x640 1 person, 76.9ms\n",
+ "0: 384x640 1 person, 44.3ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "0: 384x640 1 person, 64.6ms\n",
+ "0: 384x640 1 person, 47.4ms\n",
+ "0: 384x640 1 person, 40.9ms\n",
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+ "0: 384x640 1 person, 61.1ms\n",
+ "0: 384x640 1 person, 44.9ms\n",
+ "0: 384x640 1 person, 56.2ms\n",
+ "0: 384x640 1 person, 72.1ms\n",
+ "0: 384x640 1 person, 43.5ms\n",
+ "0: 384x640 1 person, 26.0ms\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
+ "WARNING ⚠️ Waiting for stream 0\n",
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+ "0: 384x640 1 dog, 39.9ms\n",
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+ "0: 384x640 1 person, 44.4ms\n",
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+ "0: 384x640 1 person, 57.6ms\n",
+ "0: 384x640 1 person, 42.8ms\n",
+ "0: 384x640 1 person, 56.4ms\n",
+ "0: 384x640 1 person, 42.4ms\n",
+ "0: 384x640 1 person, 48.0ms\n",
+ "0: 384x640 1 person, 45.4ms\n",
+ "0: 384x640 1 person, 45.7ms\n",
+ "0: 384x640 1 person, 67.6ms\n",
+ "0: 384x640 1 person, 59.5ms\n",
+ "0: 384x640 1 person, 30.1ms\n",
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+ "0: 384x640 1 person, 26.1ms\n",
+ "0: 384x640 1 person, 55.8ms\n",
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+ "0: 384x640 1 person, 55.9ms\n",
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+ "0: 384x640 1 person, 36.0ms\n",
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+ "WARNING ⚠️ Waiting for stream 0\n",
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+ "0: 384x640 (no detections), 47.2ms\n",
+ "0: 384x640 1 cat, 39.4ms\n",
+ "0: 384x640 (no detections), 68.7ms\n",
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+ "0: 384x640 1 person, 53.4ms\n",
+ "0: 384x640 1 person, 39.4ms\n",
+ "0: 384x640 1 person, 67.6ms\n",
+ "0: 384x640 1 person, 49.8ms\n",
+ "0: 384x640 1 person, 89.3ms\n",
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+ "0: 384x640 1 person, 103.5ms\n",
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+ "0: 384x640 1 person, 48.5ms\n",
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+ "0: 384x640 1 person, 1 traffic light, 39.4ms\n",
+ "0: 384x640 1 person, 46.3ms\n",
+ "0: 384x640 1 person, 49.1ms\n",
+ "0: 384x640 1 person, 33.6ms\n",
+ "0: 384x640 1 person, 1 tie, 57.2ms\n",
+ "0: 384x640 1 person, 44.1ms\n",
+ "0: 384x640 1 person, 32.8ms\n",
+ "0: 384x640 1 person, 43.0ms\n",
+ "0: 384x640 1 person, 46.2ms\n",
+ "0: 384x640 1 person, 43.6ms\n",
+ "0: 384x640 1 person, 51.1ms\n",
+ "0: 384x640 1 person, 73.7ms\n",
+ "0: 384x640 1 person, 36.0ms\n",
+ "0: 384x640 1 person, 37.4ms\n",
+ "0: 384x640 1 person, 38.8ms\n",
+ "0: 384x640 1 person, 38.1ms\n",
+ "0: 384x640 1 person, 35.5ms\n",
+ "0: 384x640 1 person, 34.1ms\n",
+ "0: 384x640 1 person, 38.3ms\n",
+ "0: 384x640 1 person, 40.1ms\n",
+ "0: 384x640 1 person, 35.2ms\n",
+ "0: 384x640 1 person, 33.1ms\n",
+ "0: 384x640 1 person, 35.2ms\n",
+ "0: 384x640 1 person, 37.1ms\n",
+ "0: 384x640 1 person, 35.6ms\n",
+ "0: 384x640 1 person, 41.1ms\n",
+ "0: 384x640 1 person, 46.5ms\n",
+ "0: 384x640 1 person, 45.1ms\n",
+ "0: 384x640 1 person, 34.7ms\n",
+ "0: 384x640 1 person, 33.8ms\n",
+ "0: 384x640 1 person, 40.7ms\n",
+ "0: 384x640 1 person, 34.7ms\n",
+ "0: 384x640 (no detections), 32.7ms\n",
+ "WARNING ⚠️ not enough matching points\n",
+ "0: 384x640 (no detections), 33.4ms\n",
+ "0: 384x640 (no detections), 39.0ms\n",
+ "0: 384x640 (no detections), 34.8ms\n",
+ "0: 384x640 (no detections), 37.4ms\n",
+ "0: 384x640 (no detections), 28.9ms\n",
+ "0: 384x640 (no detections), 24.6ms\n",
+ "Speed: 1.9ms preprocess, 36.2ms inference, 0.7ms postprocess per image at shape (1, 3, 384, 640)\n"
+ ]
+ },
+ {
+ "data": {
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