git clone https://github.com/brjathu/PHALP.gitcd PHALPconda create -n phalp python=3.10conda activate phalpconda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidiapip install -e .[all]

gt_data[frame_id]= {"gt_bbox":gt_boxes,"extra_data": {"gt_class": [],"gt_track_id": [],                        }                    }

python scripts/demo.py video.source=assets/videos/vid.mp4 video.extract_video=False video.start_time=1s video.end_time=2s

# for rendering detected and occluded peoplepython scripts/demo.py video.source=assets/videos/vid.mp4 render.head_mask=True

importjoblibresults=joblib.load(<video.output_dir>/results/<video_name>.pkl)results= {# A dictionary for each frame.'vid_frame0.jpg': {'2d_joints':List[np.array(90,)],# 45x 2D joints for each detection'3d_joints':List[np.array(45,3)],# 45x 3D joints for each detection'annotations':List[Any],# custom annotations for each detection'appe':List[np.array(4096,)],# appearance features for each detection'bbox':List[[x0y0wh]],# 2D bounding box (top-left corner and dimensions) for each track (detections + ghosts)'camera':List[[txtytz]],# camera translation (wrt image) for each detection'camera_bbox':List[[txtytz]],# camera translation (wrt bbox) for each detection'center':List[[cxcy]],# 2D center of bbox for each detection'class_name':List[int],# class ID for each detection (0 for humans)'conf':List[float],# confidence score for each detection'frame_path':'vid_frame0.jpg',# Frame identifier'loca':List[np.array(99,)],# location features for each detection'mask':List[mask],# RLE-compressed mask for each detection'pose':List[np.array(229,)],# pose feature (concatenated SMPL params) for each detection'scale':List[float],# max(width, height) for each detection'shot':int,# Shot number'size':List[[imgwimgh]],# Image dimensions for each detection'smpl':List[Dict_SMPL],# SMPL parameters for each detection: betas (10), body_pose (23x3x3), global_orient (3x3)'tid':List[int],# Track ID for each detection'time':int,# Frame number'tracked_bbox':List[[x0y0wh]],# 2D bounding box (top-left corner and dimensions) for each detection'tracked_ids':List[int],# Track ID for each detection'tracked_time':List[int],# for each detection, time since it was last seen  },'vid_frame1.jpg': {    ...  },  ...}