Hamidreza-Hashemp's picture
Upload 65 files
cd3346a
raw
history blame
2.84 kB
import argparse
import json
import os
from os import cpu_count
from pathlib import Path
os.environ["MKL_NUM_THREADS"] = "1"
os.environ["NUMEXPR_NUM_THREADS"] = "1"
os.environ["OMP_NUM_THREADS"] = "1"
from functools import partial
from glob import glob
from multiprocessing.pool import Pool
import cv2
cv2.ocl.setUseOpenCL(False)
cv2.setNumThreads(0)
from tqdm import tqdm
def extract_video(param, root_dir, crops_dir):
video, bboxes_path = param
with open(bboxes_path, "r") as bbox_f:
bboxes_dict = json.load(bbox_f)
capture = cv2.VideoCapture(video)
frames_num = int(capture.get(cv2.CAP_PROP_FRAME_COUNT))
for i in range(frames_num):
capture.grab()
if i % 10 != 0:
continue
success, frame = capture.retrieve()
if not success or str(i) not in bboxes_dict:
continue
id = os.path.splitext(os.path.basename(video))[0]
crops = []
bboxes = bboxes_dict[str(i)]
if bboxes is None:
continue
for bbox in bboxes:
xmin, ymin, xmax, ymax = [int(b * 2) for b in bbox]
w = xmax - xmin
h = ymax - ymin
p_h = h // 3
p_w = w // 3
crop = frame[max(ymin - p_h, 0):ymax + p_h, max(xmin - p_w, 0):xmax + p_w]
h, w = crop.shape[:2]
crops.append(crop)
img_dir = os.path.join(root_dir, crops_dir, id)
os.makedirs(img_dir, exist_ok=True)
for j, crop in enumerate(crops):
cv2.imwrite(os.path.join(img_dir, "{}_{}.png".format(i, j)), crop)
def get_video_paths(root_dir):
paths = []
for json_path in glob(os.path.join(root_dir, "*/metadata.json")):
dir = Path(json_path).parent
with open(json_path, "r") as f:
metadata = json.load(f)
for k, v in metadata.items():
original = v.get("original", None)
if not original:
original = k
bboxes_path = os.path.join(root_dir, "boxes", original[:-4] + ".json")
if not os.path.exists(bboxes_path):
continue
paths.append((os.path.join(dir, k), bboxes_path))
return paths
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description="Extracts crops from video")
parser.add_argument("--root-dir", help="root directory")
parser.add_argument("--crops-dir", help="crops directory")
args = parser.parse_args()
os.makedirs(os.path.join(args.root_dir, args.crops_dir), exist_ok=True)
params = get_video_paths(args.root_dir)
with Pool(processes=cpu_count()) as p:
with tqdm(total=len(params)) as pbar:
for v in p.imap_unordered(partial(extract_video, root_dir=args.root_dir, crops_dir=args.crops_dir), params):
pbar.update()
z = 2