89 lines
3.7 KiB
Python
89 lines
3.7 KiB
Python
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import os
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import json
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import sys
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import numpy as np
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from typing import List
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import skeleton_lib as skel
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import concurrent.futures
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sys.path.append('./')
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def json_to_keypoints_openpose(json_file: str) -> List[skel.Keypoint]:
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with open(json_file, 'r') as file:
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data = json.load(file)
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keypoints = data[0]['people'][0]['pose_keypoints_2d']
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keypoints = [skel.Keypoint(keypoints[i], keypoints[i + 1]) for i in range(0, len(keypoints), 3)]
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return keypoints
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def array_json_to_Skeleton_Seqences(json_file: str) -> List[skel.Skeleton_Seqence]:
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with open(json_file, 'r') as file:
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data = json.load(file)
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skeleton_sequences = []
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for frame in data:
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for i in range(len(frame)):
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while len(skeleton_sequences) <= i:
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skeleton_sequences.append(None)
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skeleton_sequences[i] = skel.Skeleton_Seqence([])
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skeleton = skel.Skeleton([skel.Keypoint(keypoint[0], keypoint[1], keypoint[2]) for keypoint in frame[i]])
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skeleton_sequences[i].add_frame(skeleton)
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return skeleton_sequences
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def Skeleton_Seqences_save_to_array_json(skeleton_sequences: List[skel.Skeleton_Seqence], json_file: str):
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# Ensure the directory exists
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os.makedirs(os.path.dirname(json_file), exist_ok=True)
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data = []
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for i in range(len(skeleton_sequences[0].skeletons_frame)):
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sliced = skel.get_time_slice_for_Skeleton_Seqences(skeleton_sequences, i)
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sequence_data = []
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for skeleton in sliced:
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keypoints_data = [[kp.x, kp.y, kp.confidence] for kp in skeleton.keypoints]
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sequence_data.append(keypoints_data)
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data.append(sequence_data)
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with open(json_file, 'w') as file:
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json.dump(data, file, indent=4)
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def process_json_file(json_file, directory):
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json_file = os.path.join(directory, json_file)
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# print(json_file)
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skeleton_sequences = array_json_to_Skeleton_Seqences(json_file)
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frame_count = max(len(skeleton_sequences[i].skeletons_frame) for i in range(len(skeleton_sequences)) if skeleton_sequences[i] is not None)
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sliced_list = [skel.get_time_slice_for_Skeleton_Seqences(skeleton_sequences, i) for i in range(frame_count)]
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for i in range(frame_count):
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last_sliced = sliced_list[i - 1] if i > 0 else None
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next_sliced = sliced_list[i + 1] if i < frame_count - 1 else None
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sliced = sliced_list[i]
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for j, skeleton in enumerate(sliced):
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last_keypoints = last_sliced[j].keypoints if last_sliced else None
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next_keypoints = next_sliced[j].keypoints if next_sliced else None
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keypoints = skeleton.keypoints
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keypoints = skel.fix_keypoints(keypoints, last_keypoints, next_keypoints)
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skeleton_sequences[j].get_frame(i).keypoints = keypoints
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Skeleton_Seqences_save_to_array_json(skeleton_sequences, './fixed/' + os.path.basename(json_file))
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def process_json_files_chunk(json_files_chunk, directory):
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for json_file in json_files_chunk:
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process_json_file(json_file, directory)
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def process_json_files_multi_threaded(json_files, directory):
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directory = './FencersKeyPoints'
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json_files = [f for f in os.listdir(directory) if f.endswith('.json')]
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if not json_files:
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print("No JSON files found in the directory.")
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return
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json_files_chunks = np.array_split(json_files, 12)
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with concurrent.futures.ThreadPoolExecutor() as executor:
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futures = [executor.submit(process_json_files_chunk, chunk, directory) for chunk in json_files_chunks]
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for future in concurrent.futures.as_completed(futures):
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try:
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future.result()
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except Exception as e:
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print(f"Error processing file chunk: {e}")
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