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3308688 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | import torch
import argparse
from pathlib import Path
import cv2
from loguru import logger
from tqdm.auto import tqdm
from easy_dwpose import DWposeDetector
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--input", type=Path, default="assets/")
parser.add_argument("--output_path", type=Path, default="results/")
args = parser.parse_args()
device = "cuda:0" if torch.cuda.is_available() else "cpu"
detector = DWposeDetector(device=device)
logger.info(f"Loaded detector")
logger.info(f"Starting inference on folder {args.input}")
files = sorted(args.input.iterdir())
images = [file for file in files if file.suffix in [".jpg", ".jpeg", ".png"]]
logger.info(f"Found {len(images)} images")
args.output_path.mkdir(parents=True, exist_ok=True)
for image_path in tqdm(images):
image = cv2.imread(str(image_path))
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
result = detector(image, output_type="np", include_hands=True, include_face=True)
result = cv2.cvtColor(result, cv2.COLOR_RGB2BGR)
output_path = str(image_path).replace(str(args.input), str(args.output_path))
cv2.imwrite(output_path, result)
logger.info("Done")
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