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93 lines
2.7 KiB
93 lines
2.7 KiB
# Copyright (c) OpenMMLab. All rights reserved.
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import os
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from argparse import ArgumentParser
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from xtcocotools.coco import COCO
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from mmpose.apis import (inference_mesh_model, init_pose_model,
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vis_3d_mesh_result)
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def main():
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"""Visualize the demo images.
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Require the json_file containing boxes.
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"""
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parser = ArgumentParser()
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parser.add_argument('pose_config', help='Config file for detection')
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parser.add_argument('pose_checkpoint', help='Checkpoint file')
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parser.add_argument('--img-root', type=str, default='', help='Image root')
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parser.add_argument(
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'--json-file',
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type=str,
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default='',
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help='Json file containing image info.')
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parser.add_argument(
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'--show',
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action='store_true',
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default=False,
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help='whether to show img')
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parser.add_argument(
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'--out-img-root',
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type=str,
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default='',
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help='Root of the output img file. '
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'Default not saving the visualization images.')
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parser.add_argument(
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'--device', default='cuda:0', help='Device used for inference')
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args = parser.parse_args()
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assert args.show or (args.out_img_root != '')
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coco = COCO(args.json_file)
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# build the pose model from a config file and a checkpoint file
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pose_model = init_pose_model(
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args.pose_config, args.pose_checkpoint, device=args.device.lower())
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dataset = pose_model.cfg.data['test']['type']
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img_keys = list(coco.imgs.keys())
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# process each image
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for i in range(len(img_keys)):
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# get bounding box annotations
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image_id = img_keys[i]
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image = coco.loadImgs(image_id)[0]
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image_name = os.path.join(args.img_root, image['file_name'])
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ann_ids = coco.getAnnIds(image_id)
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# make person bounding boxes
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person_results = []
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for ann_id in ann_ids:
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person = {}
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ann = coco.anns[ann_id]
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# bbox format is 'xywh'
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person['bbox'] = ann['bbox']
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person_results.append(person)
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# test a single image, with a list of bboxes
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pose_results = inference_mesh_model(
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pose_model,
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image_name,
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person_results,
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bbox_thr=None,
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format='xywh',
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dataset=dataset)
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if args.out_img_root == '':
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out_file = None
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else:
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os.makedirs(args.out_img_root, exist_ok=True)
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out_file = os.path.join(args.out_img_root, f'vis_{i}.jpg')
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vis_3d_mesh_result(
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pose_model,
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pose_results,
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image_name,
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show=args.show,
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out_file=out_file)
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if __name__ == '__main__':
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main()
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