computer vision 1

README.md

@@ -1,8 +1,8 @@
 ---
-title: ComputerVision
-emoji: 🚀
-colorFrom: purple
-colorTo: pink
+title: Farshid
+emoji: 🏃
+colorFrom: pink
+colorTo: yellow
 sdk: gradio
 sdk_version: 3.39.0
 app_file: app.py

app.py

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+import gradio as gr
+import cv2
+import requests
+import os
+
+from ultralytics import YOLO
+
+file_urls = [
+    'https://lh3.googleusercontent.com/a2iyhpYl4Jgzc0r7MYgXQI1BGwkutp3rKuauNpkEbD3Z_HP-gf29M-wugKebKJQdl8ILtKWN-vOZAS9r1qMsI88=w16383'    
+]
+
+def download_file(url, save_name):
+    url = url
+    if not os.path.exists(save_name):
+        file = requests.get(url)
+        open(save_name, 'wb').write(file.content)
+
+for i, url in enumerate(file_urls):
+    if 'mp4' in file_urls[i]:
+        download_file(
+            file_urls[i],
+            f"video.mp4"
+        )
+    else:
+        download_file(
+            file_urls[i],
+            f"image_{i}.jpg"
+        )
+
+
+path  = [['image_0.jpg']]
+
+
+def show_preds_image(image_path):
+    image = cv2.imread(image_path,0)    
+    return image #cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
+
+inputs_image = [
+    gr.components.Image(type="filepath", label="Input Image"),
+]
+outputs_image = [
+    gr.components.Image(type="numpy", label="Output Image"),
+]
+interface_image = gr.Interface(
+    fn=show_preds_image,
+    inputs=inputs_image,
+    outputs=outputs_image,
+    title="Computer Vision and Deep Learning by Farshid PirahanSiah",
+    examples=path,
+    cache_examples=False,
+)
+
+# def show_preds_video(video_path):
+#     cap = cv2.VideoCapture(video_path)
+#     while(cap.isOpened()):
+#         ret, frame = cap.read()
+#         if ret:
+#             frame_copy = frame.copy()
+#             outputs = model.predict(source=frame)
+#             results = outputs[0].cpu().numpy()
+#             for i, det in enumerate(results.boxes.xyxy):
+#                 cv2.rectangle(
+#                     frame_copy,
+#                     (int(det[0]), int(det[1])),
+#                     (int(det[2]), int(det[3])),
+#                     color=(0, 0, 255),
+#                     thickness=2,
+#                     lineType=cv2.LINE_AA
+#                 )
+#             yield cv2.cvtColor(frame_copy, cv2.COLOR_BGR2RGB)
+
+# inputs_video = [
+#     gr.components.Video(type="filepath", label="Input Video"),
+
+# ]
+# outputs_video = [
+#     gr.components.Image(type="numpy", label="Output Image"),
+# ]
+# interface_video = gr.Interface(
+#     fn=show_preds_video,
+#     inputs=inputs_video,
+#     outputs=outputs_video,
+#     title="Pothole detector",
+#     examples=video_path,
+#     cache_examples=False,
+# )
+
+# gr.TabbedInterface(
+#     [interface_image, interface_video],
+#     tab_names=['Image inference', 'Video inference']
+# ).queue().launch()

gitignore

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+flagged/
+*.pt
+*.png
+*.jpg
+*.mp4
+*.mkv
+gradio_cached_examples/
+.DS_Store

requirements.txt

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+# Ultralytics requirements
+# Usage: pip install -r requirements.txt
+
+# Base ----------------------------------------
+hydra-core>=1.2.0
+matplotlib>=3.2.2
+numpy>=1.18.5
+opencv-python>=4.1.1
+Pillow>=7.1.2
+PyYAML>=5.3.1
+requests>=2.23.0
+scipy>=1.4.1
+torch>=1.7.0
+torchvision>=0.8.1
+tqdm>=4.64.0
+ultralytics
+
+# Logging -------------------------------------
+tensorboard>=2.4.1
+# clearml
+# comet
+
+# Plotting ------------------------------------
+pandas>=1.1.4
+seaborn>=0.11.0
+
+# Export --------------------------------------
+# coremltools>=6.0  # CoreML export
+# onnx>=1.12.0  # ONNX export
+# onnx-simplifier>=0.4.1  # ONNX simplifier
+# nvidia-pyindex  # TensorRT export
+# nvidia-tensorrt  # TensorRT export
+# scikit-learn==0.19.2  # CoreML quantization
+# tensorflow>=2.4.1  # TF exports (-cpu, -aarch64, -macos)
+# tensorflowjs>=3.9.0  # TF.js export
+# openvino-dev  # OpenVINO export
+
+# Extras --------------------------------------
+ipython  # interactive notebook
+psutil  # system utilization
+thop>=0.1.1  # FLOPs computation
+# albumentations>=1.0.3
+# pycocotools>=2.0.6  # COCO mAP
+# roboflow
+
+# HUB -----------------------------------------
+GitPython>=3.1.24