添加mmaction2测试用例

openmmlab_test/mmaction2-0.24.1/configs/localization/bsn/bsn_pgm_400x100_activitynet_feature.py

+# dataset settings
+dataset_type = 'ActivityNetDataset'
+data_root = 'data/ActivityNet/activitynet_feature_cuhk/csv_mean_100/'
+data_root_val = 'data/ActivityNet/activitynet_feature_cuhk/csv_mean_100/'
+ann_file_train = 'data/ActivityNet/anet_anno_train.json'
+ann_file_val = 'data/ActivityNet/anet_anno_val.json'
+ann_file_test = 'data/ActivityNet/anet_anno_test.json'
+
+work_dir = 'work_dirs/bsn_400x100_20e_1x16_activitynet_feature/'
+tem_results_dir = f'{work_dir}/tem_results/'
+pgm_proposals_dir = f'{work_dir}/pgm_proposals/'
+pgm_features_dir = f'{work_dir}/pgm_features/'
+
+temporal_scale = 100
+pgm_proposals_cfg = dict(
+    pgm_proposals_thread=8, temporal_scale=temporal_scale, peak_threshold=0.5)
+pgm_features_test_cfg = dict(
+    pgm_features_thread=4,
+    top_k=1000,
+    num_sample_start=8,
+    num_sample_end=8,
+    num_sample_action=16,
+    num_sample_interp=3,
+    bsp_boundary_ratio=0.2)
+pgm_features_train_cfg = dict(
+    pgm_features_thread=4,
+    top_k=500,
+    num_sample_start=8,
+    num_sample_end=8,
+    num_sample_action=16,
+    num_sample_interp=3,
+    bsp_boundary_ratio=0.2)

openmmlab_test/mmaction2-0.24.1/configs/localization/ssn/metafile.yml

+Collections:
+- Name: SSN
+  README: configs/localization/ssn/README.md
+  Paper:
+    URL: https://arxiv.org/abs/1704.06228
+    Title: Temporal Action Detection with Structured Segment Networks
+Models:
+- Config: configs/localization/ssn/ssn_r50_450e_thumos14_rgb_train.py
+  In Collection: SSN
+  Metadata:
+    Architecture: ResNet50
+    Pretrained: ImageNet
+    Training Data: THUMOS 14
+    Training Resources: 8 GPUs
+  Name: ssn_r50_450e_thumos14_rgb
+  Results:
+  - Dataset: THUMOS 14
+    Metrics:
+      mAP@0.3: 29.37
+      mAP@0.4: 22.15
+      mAP@0.5: 15.69
+    Task: Temporal Action Localization
+  Training Json Log: https://download.openmmlab.com/mmaction/localization/ssn/ssn_r50_450e_thumos14_rgb/20201005_144656.log.json
+  Training Log: https://download.openmmlab.com/mmaction/localization/ssn/ssn_r50_450e_thumos14_rgb/20201005_144656.log
+  Weights: https://download.openmmlab.com/mmaction/localization/ssn/ssn_r50_450e_thumos14_rgb/ssn_r50_450e_thumos14_rgb_20201012-1920ab16.pth
+  reference mAP@0.3: '[27.61](https://github.com/open-mmlab/mmaction/tree/c7e3b7c11fb94131be9b48a8e3d510589addc3ce#Get%20started)'
+  reference mAP@0.4: '[21.28](https://github.com/open-mmlab/mmaction/tree/c7e3b7c11fb94131be9b48a8e3d510589addc3ce#Get%20started)'
+  reference mAP@0.5: '[14.57](https://github.com/open-mmlab/mmaction/tree/c7e3b7c11fb94131be9b48a8e3d510589addc3ce#Get%20started)'
+  reference ckpt: '[ckpt](https://download.openmmlab.com/mmaction/localization/ssn/mmaction_reference/ssn_r50_450e_thumos14_rgb_ref/ssn_r50_450e_thumos14_rgb_ref_20201014-b6f48f68.pth)'
+  reference json: '[json](https://download.openmmlab.com/mmaction/localization/ssn/mmaction_reference/ssn_r50_450e_thumos14_rgb_ref/20201008_103258.log.json)'