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support bottom-up demo (open-mmlab#72)
Co-authored-by: jinsheng <jinsheng@sensetime.com>
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,78 @@ | ||
| import os | ||
| from argparse import ArgumentParser | ||
|
|
||
| from mmpose.apis import (inference_bottom_up_pose_model, init_pose_model, | ||
| vis_pose_result) | ||
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| def main(): | ||
| """Visualize the demo images.""" | ||
| parser = ArgumentParser() | ||
| parser.add_argument('pose_config', help='Config file for detection') | ||
| parser.add_argument('pose_checkpoint', help='Checkpoint file') | ||
| parser.add_argument('--img-root', type=str, default='', help='Image root') | ||
| parser.add_argument( | ||
| '--json-file', | ||
| type=str, | ||
| default='', | ||
| help='Json file containing image info.') | ||
| parser.add_argument( | ||
| '--show', | ||
| action='store_true', | ||
| default=False, | ||
| help='whether to show img') | ||
| parser.add_argument( | ||
| '--out-img-root', | ||
| type=str, | ||
| default='', | ||
| help='Root of the output img file. ' | ||
| 'Default not saving the visualization images.') | ||
| parser.add_argument( | ||
| '--device', default='cuda:0', help='Device used for inference') | ||
| parser.add_argument( | ||
| '--kpt-thr', type=float, default=0.3, help='Keypoint score threshold') | ||
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| args = parser.parse_args() | ||
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| assert args.show or (args.out_img_root != '') | ||
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| skeleton = [[16, 14], [14, 12], [17, 15], [15, 13], [12, 13], [6, 12], | ||
| [7, 13], [6, 7], [6, 8], [7, 9], [8, 10], [9, 11], [2, 3], | ||
| [1, 2], [1, 3], [2, 4], [3, 5], [4, 6], [5, 7]] | ||
|
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| from pycocotools.coco import COCO | ||
| coco = COCO(args.json_file) | ||
| # build the pose model from a config file and a checkpoint file | ||
| pose_model = init_pose_model( | ||
| args.pose_config, args.pose_checkpoint, device=args.device) | ||
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| img_keys = list(coco.imgs.keys()) | ||
|
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| # process each image | ||
| for i in range(len(img_keys)): | ||
| image_id = img_keys[i] | ||
| image = coco.loadImgs(image_id)[0] | ||
| image_name = os.path.join(args.img_root, image['file_name']) | ||
|
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| # test a single image, with a list of bboxes. | ||
| pose_results = inference_bottom_up_pose_model(pose_model, image_name) | ||
|
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| if args.out_img_root == '': | ||
| out_file = None | ||
| else: | ||
| os.makedirs(args.out_img_root, exist_ok=True) | ||
| out_file = os.path.join(args.out_img_root, f'vis_{i}.jpg') | ||
|
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| # show the results | ||
| vis_pose_result( | ||
| pose_model, | ||
| image_name, | ||
| pose_results, | ||
| skeleton=skeleton, | ||
| kpt_score_thr=args.kpt_thr, | ||
| show=args.show, | ||
| out_file=out_file) | ||
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| if __name__ == '__main__': | ||
| main() |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,93 @@ | ||
| import os | ||
| from argparse import ArgumentParser | ||
|
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| import cv2 | ||
|
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| from mmpose.apis import (inference_bottom_up_pose_model, init_pose_model, | ||
| vis_pose_result) | ||
|
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||
|
|
||
| def main(): | ||
| """Visualize the demo images.""" | ||
| parser = ArgumentParser() | ||
| parser.add_argument('pose_config', help='Config file for pose') | ||
| parser.add_argument('pose_checkpoint', help='Checkpoint file for pose') | ||
| parser.add_argument('--video-path', type=str, help='Video path') | ||
| parser.add_argument( | ||
| '--show', | ||
| action='store_true', | ||
| default=False, | ||
| help='whether to show visualizations.') | ||
| parser.add_argument( | ||
| '--out-video-root', | ||
| default='', | ||
| help='Root of the output video file. ' | ||
| 'Default not saving the visualization video.') | ||
| parser.add_argument( | ||
| '--device', default='cuda:0', help='Device used for inference') | ||
| parser.add_argument( | ||
| '--kpt-thr', type=float, default=0.3, help='Keypoint score threshold') | ||
|
|
||
| args = parser.parse_args() | ||
|
|
||
| skeleton = [[16, 14], [14, 12], [17, 15], [15, 13], [12, 13], [6, 12], | ||
| [7, 13], [6, 7], [6, 8], [7, 9], [8, 10], [9, 11], [2, 3], | ||
| [1, 2], [1, 3], [2, 4], [3, 5], [4, 6], [5, 7]] | ||
|
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| assert args.show or (args.out_video_root != '') | ||
|
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| # build the pose model from a config file and a checkpoint file | ||
| pose_model = init_pose_model( | ||
| args.pose_config, args.pose_checkpoint, device=args.device) | ||
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| cap = cv2.VideoCapture(args.video_path) | ||
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| if args.out_video_root == '': | ||
| save_out_video = False | ||
| else: | ||
| os.makedirs(args.out_video_root, exist_ok=True) | ||
| save_out_video = True | ||
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| if save_out_video: | ||
| fps = cap.get(cv2.CAP_PROP_FPS) | ||
| size = (int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)), | ||
| int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))) | ||
| fourcc = cv2.VideoWriter_fourcc(*'mp4v') | ||
| videoWriter = cv2.VideoWriter( | ||
| os.path.join(args.out_video_root, | ||
| f'vis_{os.path.basename(args.video_path)}'), fourcc, | ||
| fps, size) | ||
|
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| while (cap.isOpened()): | ||
| flag, img = cap.read() | ||
| if not flag: | ||
| break | ||
|
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| pose_results = inference_bottom_up_pose_model(pose_model, img) | ||
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| # show the results | ||
| vis_img = vis_pose_result( | ||
| pose_model, | ||
| img, | ||
| pose_results, | ||
| skeleton=skeleton, | ||
| kpt_score_thr=args.kpt_thr, | ||
| show=False) | ||
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| if args.show: | ||
| cv2.imshow('Image', vis_img) | ||
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| if save_out_video: | ||
| videoWriter.write(vis_img) | ||
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| if cv2.waitKey(1) & 0xFF == ord('q'): | ||
| break | ||
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| cap.release() | ||
| if save_out_video: | ||
| videoWriter.release() | ||
| cv2.destroyAllWindows() | ||
|
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|
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| if __name__ == '__main__': | ||
| main() |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,8 +1,11 @@ | ||
| from .inference import inference_pose_model, init_pose_model, vis_pose_result | ||
| from .inference import (inference_bottom_up_pose_model, | ||
| inference_top_down_pose_model, init_pose_model, | ||
| vis_pose_result) | ||
| from .test import multi_gpu_test, single_gpu_test | ||
| from .train import train_model | ||
|
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| __all__ = [ | ||
| 'train_model', 'init_pose_model', 'inference_pose_model', 'multi_gpu_test', | ||
| 'single_gpu_test', 'vis_pose_result' | ||
| 'train_model', 'init_pose_model', 'inference_top_down_pose_model', | ||
| 'inference_bottom_up_pose_model', 'multi_gpu_test', 'single_gpu_test', | ||
| 'vis_pose_result' | ||
| ] |
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