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101 lines
3.4 KiB
101 lines
3.4 KiB
2 years ago
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import argparse
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from pathlib import Path
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import cv2
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import numpy as np
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from config import CLASSES, COLORS
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from models.utils import blob, letterbox, path_to_list, seg_postprocess
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def main(args: argparse.Namespace) -> None:
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if args.method == 'cudart':
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from models.cudart_api import TRTEngine
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elif args.method == 'pycuda':
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from models.pycuda_api import TRTEngine
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else:
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raise NotImplementedError
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Engine = TRTEngine(args.engine)
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H, W = Engine.inp_info[0].shape[-2:]
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images = path_to_list(args.imgs)
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save_path = Path(args.out_dir)
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if not args.show and not save_path.exists():
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save_path.mkdir(parents=True, exist_ok=True)
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for image in images:
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save_image = save_path / image.name
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bgr = cv2.imread(str(image))
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draw = bgr.copy()
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bgr, ratio, dwdh = letterbox(bgr, (W, H))
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dw, dh = int(dwdh[0]), int(dwdh[1])
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rgb = cv2.cvtColor(bgr, cv2.COLOR_BGR2RGB)
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tensor, seg_img = blob(rgb, return_seg=True)
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dwdh = np.array(dwdh * 2, dtype=np.float32)
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tensor = np.ascontiguousarray(tensor)
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# inference
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data = Engine(tensor)
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seg_img = seg_img[dh:H - dh, dw:W - dw, [2, 1, 0]]
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bboxes, scores, labels, masks = seg_postprocess(
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data, bgr.shape[:2], args.conf_thres, args.iou_thres)
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mask, mask_color = [m[:, dh:H - dh, dw:W - dw, :] for m in masks]
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inv_alph_masks = (1 - mask * 0.5).cumprod(0)
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mcs = (mask_color * inv_alph_masks).sum(0) * 2
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seg_img = (seg_img * inv_alph_masks[-1] + mcs) * 255
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draw = cv2.resize(seg_img.astype(np.uint8), draw.shape[:2][::-1])
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bboxes -= dwdh
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bboxes /= ratio
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for (bbox, score, label) in zip(bboxes, scores, labels):
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bbox = bbox.round().astype(np.int32).tolist()
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cls_id = int(label)
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cls = CLASSES[cls_id]
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color = COLORS[cls]
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cv2.rectangle(draw, bbox[:2], bbox[2:], color, 2)
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cv2.putText(draw,
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f'{cls}:{score:.3f}', (bbox[0], bbox[1] - 2),
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cv2.FONT_HERSHEY_SIMPLEX,
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0.75, [225, 255, 255],
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thickness=2)
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if args.show:
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cv2.imshow('result', draw)
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cv2.waitKey(0)
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else:
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cv2.imwrite(str(save_image), draw)
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def parse_args():
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parser = argparse.ArgumentParser()
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parser.add_argument('--engine', type=str, help='Engine file')
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parser.add_argument('--imgs', type=str, help='Images file')
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parser.add_argument('--show',
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action='store_true',
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help='Show the detection results')
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parser.add_argument('--out-dir',
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type=str,
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default='./output',
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help='Path to output file')
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parser.add_argument('--conf-thres',
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type=float,
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default=0.25,
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help='Confidence threshold')
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parser.add_argument('--iou-thres',
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type=float,
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default=0.65,
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help='Confidence threshold')
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parser.add_argument('--method',
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type=str,
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default='cudart',
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help='CUDART pipeline')
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args = parser.parse_args()
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return args
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if __name__ == '__main__':
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args = parse_args()
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main(args)
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