mmpose-0.29.0/demo/mesh_img_demo.py

# Copyright (c) OpenMMLab. All rights reserved.
import os
from argparse import ArgumentParser

import mmcv
from xtcocotools.coco import COCO

from mmpose.apis import (inference_mesh_model, init_pose_model,
 vis_3d_mesh_result)


def main():
 """Visualize the demo images.

 Require the json_file containing boxes.
 """
 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')

 args = parser.parse_args()

 assert args.show or (args.out_img_root != '')

 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.lower())

 dataset = pose_model.cfg.data['test']['type']

 img_keys = list(coco.imgs.keys())

 # process each image
 for i in mmcv.track_iter_progress(range(len(img_keys))):
 # get bounding box annotations
 image_id = img_keys[i]
 image = coco.loadImgs(image_id)[0]
 image_name = os.path.join(args.img_root, image['file_name'])
 ann_ids = coco.getAnnIds(image_id)

 # make person bounding boxes
 person_results = []
 for ann_id in ann_ids:
 person = {}
 ann = coco.anns[ann_id]
 # bbox format is 'xywh'
 person['bbox'] = ann['bbox']
 person_results.append(person)

 # test a single image, with a list of bboxes
 pose_results = inference_mesh_model(
 pose_model,
 image_name,
 person_results,
 bbox_thr=None,
 format='xywh',
 dataset=dataset)

 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')

 vis_3d_mesh_result(
 pose_model,
 pose_results,
 image_name,
 show=args.show,
 out_file=out_file)


if __name__ == '__main__':
 main()