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# Copyright (c) Meta Platforms, Inc. and affiliates. All Rights Reserved
import json
import os
import shutil
import subprocess
from io import BytesIO
from pathlib import Path
import cv2
import matplotlib.pyplot as plt
import numpy as np
import yaml
from PIL import Image
from pycocotools import mask as mask_utils
from tqdm import tqdm
annotation_files = {
"droid": [
"silver_droid_merged_test.json",
],
"sav": [
"silver_sav_merged_test.json",
],
"yt1b": [
"silver_yt1b_merged_test.json",
],
"ego4d": [
"silver_ego4d_merged_test.json",
],
}
def load_yaml(filename):
with open(filename, "r") as f:
return yaml.safe_load(f)
def load_json(filename):
with open(filename, "r") as f:
return json.load(f)
def save_json(content, filename):
with open(filename, "w") as f:
json.dump(content, f)
def run_command(cmd):
"""Run a shell command and raise if it fails."""
result = subprocess.run(cmd, shell=True)
if result.returncode != 0:
raise RuntimeError(f"Command failed: {cmd}")
config = load_yaml("CONFIG_FRAMES.yaml")
def is_valid_image(img_path):
try:
img = Image.open(img_path).convert("RGB")
return True
except Exception:
return False
def get_frame_from_video(video_path, frame_id):
cap = cv2.VideoCapture(video_path)
cap.set(cv2.CAP_PROP_POS_FRAMES, frame_id)
ret, frame = cap.read()
cap.release()
if not ret:
# Some videos cannot be open with OpenCV
import av
container = av.open(video_path)
stream = container.streams.video[0]
for i, frame in tqdm(
enumerate(container.decode(stream)),
desc="Decoding with AV",
total=frame_id + 1,
):
if i == frame_id:
img = frame.to_ndarray(format="rgb24")
return img
raise ValueError(
f"Could not read frame {frame_id} from video {video_path} (out of frame)"
)
frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
return frame_rgb
def update_annotations(dataset_name, file_names_keep, key="original_video"):
for annotation_file in annotation_files[dataset_name]:
path_ann = os.path.join(config["path_annotations"], annotation_file)
path_original_ann = os.path.join(
config["path_annotations"],
annotation_file.replace(".json", "_original.json"),
)
ann = load_json(path_ann)
shutil.copy(path_ann, path_original_ann)
new_images = []
image_ids_keep = set()
for image in ann["images"]:
if image[key].replace(".mp4", "") in file_names_keep:
new_images.append(image)
image_ids_keep.add(image["id"])
new_annotations = []
for annotation in ann["annotations"]:
if annotation["image_id"] in image_ids_keep:
new_annotations.append(annotation)
ann["images"] = new_images
ann["annotations"] = new_annotations
save_json(ann, path_ann)
def get_filename_size_map(annotation_path):
with open(annotation_path) as f:
annotations = json.load(f)
filename_size_map = {}
for each in annotations["images"]:
filename_size_map[each["file_name"]] = (each["width"], each["height"])
return filename_size_map
def get_filenames(annotation_path):
with open(annotation_path) as f:
annotations = json.load(f)
filenames = {Path(each["file_name"]) for each in annotations["images"]}
return filenames
def get_image_ids(annotation_path):
filenames = get_filenames(annotation_path)
filestems = {Path(each).stem for each in filenames}
return filestems
def setup(folder):
print("Making dir", folder)
folder.mkdir(exist_ok=True)
def copy_file(paths):
old_path, new_path = paths
print("Copy from", old_path, "to", new_path)
if not Path(new_path).exists():
shutil.copy2(old_path, new_path)
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