mirror of
https://github.com/open-mmlab/mmdeploy.git
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53 lines
1.4 KiB
Python
53 lines
1.4 KiB
Python
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# Copyright (c) OpenMMLab. All rights reserved.
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import argparse
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import cv2
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import numpy as np
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from mmdeploy_python import PoseDetector
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def parse_args():
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parser = argparse.ArgumentParser(
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description='show how to use sdk python api')
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parser.add_argument(
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'model_path', help='the directory path of mmdeploy model')
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parser.add_argument('image_path', help='the path of an image')
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parser.add_argument(
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'--bbox',
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default=None,
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nargs='+',
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help='bounding box of an object in format (x, y, w, h)')
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parser.add_argument(
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'--device-name', default='cpu', help='the name of device, cuda or cpu')
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args = parser.parse_args()
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return args
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def main():
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args = parse_args()
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img = cv2.imread(args.image_path)
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bboxes = []
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if args.bbox is None:
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bbox = [0, 0, img.shape[1], img.shape[0]]
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else:
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# x, y, w, h -> left, top, right, bottom
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bbox = np.array(args.bbox, dtype=int)
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bbox[2:] += bbox[:2]
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bboxes.append(bbox)
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detector = PoseDetector(args.model_path, args.device_name, 0)
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result = detector([img], [bboxes])[0]
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_, point_num, _ = result.shape
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points = result[:, :, :2].reshape(point_num, 2)
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for [x, y] in points.astype(int):
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cv2.circle(img, (x, y), 1, (0, 255, 0), 2)
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cv2.imwrite('output_pose.png', img)
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if __name__ == '__main__':
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main()
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