[Fix] Update outdated dependencies of mmcv

mmaction/visualization/action_visualizer.py

@@ -56,7 +56,7 @@ class ActionVisualizer(Visualizer):
         >>> import torch
         >>> import decord
         >>> from pathlib import Path
-        >>> from mmaction.core import ActionDataSample, ActionVisualizer
+        >>> from mmaction.structures import ActionDataSample, ActionVisualizer
         >>> from mmengine.structures import LabelData
         >>> # Example frame
         >>> video = decord.VideoReader('./demo/demo.mp4')

tools/analysis_tools/report_map.py

@@ -3,10 +3,10 @@
 import os
 import os.path as osp
 
-import mmcv
+import mmengine
 import numpy as np
 
-from mmaction.core import ActivityNetLocalization
+from mmaction.evaluation import ActivityNetLocalization
 
 args = None
 
@@ -17,9 +17,9 @@ def cuhk17_top1():
     if not osp.exists('cuhk_anet17_pred.json'):
         os.system('wget https://download.openmmlab.com/'
                   'mmaction/localization/cuhk_anet17_pred.json')
-    proposal = mmcv.load(args.proposal)
+    proposal = mmengine.load(args.proposal)
     results = proposal['results']
-    cuhk_pred = mmcv.load('cuhk_anet17_pred.json')['results']
+    cuhk_pred = mmengine.load('cuhk_anet17_pred.json')['results']
 
     def get_topk(preds, k):
         preds.sort(key=lambda x: x['score'])
@@ -36,7 +36,7 @@ def get_topk(preds, k):
             new_value.append(x)
         results[k] = new_value
     proposal['results'] = results
-    mmcv.dump(proposal, args.det_output)
+    mmengine.dump(proposal, args.det_output)
 
 
 cls_funcs = {'cuhk17_top1': cuhk17_top1}

tools/data/activitynet/convert_proposal_format.py

@@ -4,16 +4,16 @@
 P-GCN, not including TSN, I3D etc.)."""
 import argparse
 
-import mmcv
+import mmengine
 import numpy as np
 
-from mmaction.core import pairwise_temporal_iou
+from mmaction.evaluation import pairwise_temporal_iou
 
 
 def load_annotations(ann_file):
     """Load the annotation according to ann_file into video_infos."""
     video_infos = []
-    anno_database = mmcv.load(ann_file)
+    anno_database = mmengine.load(ann_file)
     for video_name in anno_database:
         video_info = anno_database[video_name]
         video_info['video_name'] = video_name
@@ -143,7 +143,7 @@ def parse_args():
     video_infos = load_annotations(args.ann_file)
     ground_truth = import_ground_truth(video_infos, activity_index)
     proposal, num_proposals = import_proposals(
-        mmcv.load(args.proposal_file)['results'])
+        mmengine.load(args.proposal_file)['results'])
     video_idx = 0
 
     for video_info in video_infos:

tools/data/activitynet/download.py

@@ -7,7 +7,7 @@
 import ssl
 import subprocess
 
-import mmcv
+import mmengine
 from joblib import Parallel, delayed
 
 ssl._create_default_https_context = ssl._create_unverified_context
@@ -101,7 +101,7 @@ def parse_activitynet_annotations(input_csv, is_bsn_case=False):
         # YoutubeIDs do not have prefix `v_`
         youtube_ids = [x.split(',')[0][2:] for x in lines]
     else:
-        data = mmcv.load(anno_file)['database']
+        data = mmengine.load(anno_file)['database']
         youtube_ids = list(data.keys())
 
     return youtube_ids
@@ -125,15 +125,15 @@ def main(input_csv, output_dir, anno_file, num_jobs=24, is_bsn_case=False):
             for index in youtube_ids)
 
     # Save download report.
-    mmcv.dump(status_list, 'download_report.json')
-    annotation = mmcv.load(anno_file)
+    mmengine.dump(status_list, 'download_report.json')
+    annotation = mmengine.load(anno_file)
     downloaded = {status[0]: status[1] for status in status_list}
     annotation = {k: v for k, v in annotation.items() if downloaded[k]}
 
     if is_bsn_case:
         anno_file_bak = anno_file.replace('.json', '_bak.json')
         os.rename(anno_file, anno_file_bak)
-        mmcv.dump(annotation, anno_file)
+        mmengine.dump(annotation, anno_file)
 
 
 if __name__ == '__main__':

tools/data/ava/download_videos_parallel.py

@@ -3,7 +3,7 @@
 import os.path as osp
 import subprocess
 
-import mmcv
+import mmengine
 from joblib import Parallel, delayed
 
 URL_PREFIX = 'https://s3.amazonaws.com/ava-dataset/trainval/'
@@ -36,7 +36,7 @@ def download_video(video_url, output_dir, num_attempts=5):
 
 
 def main(source_file, output_dir, num_jobs=24, num_attempts=5):
-    mmcv.mkdir_or_exist(output_dir)
+    mmengine.mkdir_or_exist(output_dir)
     video_list = open(source_file).read().strip().split('\n')
     video_list = [osp.join(URL_PREFIX, video) for video in video_list]
 
@@ -49,7 +49,7 @@ def main(source_file, output_dir, num_jobs=24, num_attempts=5):
             delayed(download_video)(video, output_dir, num_attempts)
             for video in video_list)
 
-    mmcv.dump(status_list, 'download_report.json')
+    mmengine.dump(status_list, 'download_report.json')
 
 
 if __name__ == '__main__':

tools/data/hvu/download.py

@@ -11,7 +11,7 @@
 import subprocess
 import uuid
 
-import mmcv
+import mmengine
 from joblib import Parallel, delayed
 
 ssl._create_default_https_context = ssl._create_unverified_context
@@ -173,7 +173,7 @@ def main(input_csv,
     # Clean tmp dir.
     shutil.rmtree(tmp_dir)
     # Save download report.
-    mmcv.dump(status_lst, 'download_report.json')
+    mmengine.dump(status_lst, 'download_report.json')
 
 
 if __name__ == '__main__':

tools/data/hvu/generate_file_list.py

@@ -5,7 +5,7 @@
 import os
 import os.path as osp
 
-import mmcv
+import mmengine
 
 annotation_root = '../../data/hvu/annotations'
 tag_file = 'hvu_tags.json'
@@ -109,7 +109,7 @@ def parse_args():
 
 if __name__ == '__main__':
     args = parse_args()
-    tag_cates = mmcv.load(tag_file)
+    tag_cates = mmengine.load(tag_file)
     tag2category = {}
     for k in tag_cates:
         for tag in tag_cates[k]:
@@ -149,4 +149,4 @@ def parse_line(line):
         ]
     elif args.mode == 'videos':
         result = [dict(filename=k[0] + '.mp4', label=k[1]) for k in data_list]
-    mmcv.dump(result, args.output)
+    mmengine.dump(result, args.output)

tools/data/hvu/generate_sub_file_list.py

@@ -2,15 +2,15 @@
 import argparse
 import os.path as osp
 
-import mmcv
+import mmengine
 
 
 def main(annotation_file, category):
     assert category in [
         'action', 'attribute', 'concept', 'event', 'object', 'scene'
     ]
 
-    data = mmcv.load(annotation_file)
+    data = mmengine.load(annotation_file)
     basename = osp.basename(annotation_file)
     dirname = osp.dirname(annotation_file)
     basename = basename.replace('hvu', f'hvu_{category}')
@@ -24,7 +24,7 @@ def main(annotation_file, category):
             item['label'] = label[category]
             result.append(item)
 
-    mmcv.dump(data, target_file)
+    mmengine.dump(data, target_file)
 
 
 if __name__ == '__main__':

tools/data/hvu/parse_tag_list.py

@@ -1,5 +1,5 @@
 # Copyright (c) OpenMMLab. All rights reserved.
-import mmcv
+import mmengine
 
 tag_list = '../../../data/hvu/annotations/hvu_categories.csv'
 
@@ -13,4 +13,4 @@
 for k in tag_categories:
     tag_categories[k].sort()
 
-mmcv.dump(tag_categories, 'hvu_tags.json')
+mmengine.dump(tag_categories, 'hvu_tags.json')

tools/data/omnisource/trim_raw_video.py

@@ -4,7 +4,7 @@
 import sys
 from subprocess import check_output
 
-import mmcv
+import mmengine
 
 
 def get_duration(vid_name):
@@ -28,7 +28,7 @@ def trim(vid_name):
 
     # We output 10-second clips into the folder `name`
     dest = name
-    mmcv.mkdir_or_exist(dest)
+    mmengine.mkdir_or_exist(dest)
 
     command_tmpl = ('ffmpeg -y loglevel error -i {} -ss {} -t {} -crf 18 '
                     '-c:v libx264 {}/part_{}.mp4')