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SCB5_Teacher_Behavior_Stand_BlackBoard_Sreen_20250406/SCB5_Teacher_Behavior_Stand_BlackBoard_Sreen_20250406-2.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:86f7e8dea15aa325b76cd5183cfb5b4a5306da845960460c0ce6b177d6879162
+size 1656472073

SCB5_Teacher_Behavior_Stand_BlackBoard_Sreen_20250406/SCB5_Teacher_Behavior_Stand_BlackBoard_Sreen_20250406.yaml

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+train: /root/SCB5_Teacher_Behavior_Stand_BlackBoard_Sreen_20250406
+/images/train
+val: /root/SCB5_Teacher_Behavior_Stand_BlackBoard_Sreen_20250406/images/val
+
+# number of classes
+nc: 8
+
+# class names
+names: ['guide','answer','On-stage interaction','blackboard-writing', 'teacher', 'stand', 'screen','blackBoard']

SCB5_Teacher_Behavior_Stand_BlackBoard_Sreen_20250406/countLabels4.py

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+'''
+输入参数是yolo数据集的路径，如：
+python countLabels4.py /path/to/yolo/dataset
+
+输出示例：
+Class   Train   Val     Total
+0       57164   15298   72462
+1       46872   12060   58932
+2       93509   24019   117528
+3       4314    1025    5339
+4       3336    847     4183
+5       3287    814     4101
+6       3710    953     4663
+7       536     144     680
+Total   212728  54160   266888
+
+其中，"Class"表示类别标签，"Train"表示训练集中该标签数量，"Val"表示验证集中该标签数量。
+
+'''
+
+import os
+import argparse
+
+def count_labels(yolo_path):
+    class_dict = {}
+    train_labels = os.path.join(yolo_path, "labels", "train")
+    val_labels = os.path.join(yolo_path, "labels", "val")
+
+    # 统计训练集标签
+    for label_file in os.listdir(train_labels):
+        with open(os.path.join(train_labels, label_file), "r") as f:
+            for line in f:
+                class_id = line.split()[0]
+                if class_id in class_dict:
+                    class_dict[class_id]["train"] += 1
+                else:
+                    class_dict[class_id] = {"train": 1, "val": 0}
+
+    # 统计验证集标签
+    for label_file in os.listdir(val_labels):
+        with open(os.path.join(val_labels, label_file), "r") as f:
+            for line in f:
+                class_id = line.split()[0]
+                if class_id in class_dict:
+                    class_dict[class_id]["val"] += 1
+                else:
+                    class_dict[class_id] = {"train": 0, "val": 1}
+
+    # 获取最大类别ID
+    max_class = max(int(class_id) for class_id in class_dict.keys()) if class_dict else -1
+
+    # 按类别ID排序并计算总和
+    total_train = 0
+    total_val = 0
+    total_all = 0
+    
+    print("Class\tTrain\tVal\tTotal")
+    # 按顺序输出每个类别
+    for i in range(max_class + 1):
+        class_id = str(i)
+        if class_id in class_dict:
+            train = class_dict[class_id]["train"]
+            val = class_dict[class_id]["val"]
+            total = train + val
+            print(f"{class_id}\t{train}\t{val}\t{total}")
+            
+            total_train += train
+            total_val += val
+            total_all += total
+        else:
+            print(f"{i}\t0\t0\t0")
+    
+    # 输出总和行
+    print(f"Total\t{total_train}\t{total_val}\t{total_all}")
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description='Count class labels in YOLO dataset')
+    parser.add_argument('yolo_path', type=str, help='Path to YOLO dataset')
+    args = parser.parse_args()
+
+    count_labels(args.yolo_path)

SCB5_Teacher_Behavior_Stand_BlackBoard_Sreen_20250406/exp/events.out.tfevents.1743935873.autodl-container-12b444b639-87f0d228.1072.0

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+size 37757

SCB5_Teacher_Behavior_Stand_BlackBoard_Sreen_20250406/exp/hyp.yaml

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+lr0: 0.01
+lrf: 0.1
+momentum: 0.937
+weight_decay: 0.0005
+warmup_epochs: 3.0
+warmup_momentum: 0.8
+warmup_bias_lr: 0.1
+box: 0.05
+cls: 0.3
+cls_pw: 1.0
+obj: 0.7
+obj_pw: 1.0
+iou_t: 0.2
+anchor_t: 4.0
+fl_gamma: 0.0
+hsv_h: 0.015
+hsv_s: 0.7
+hsv_v: 0.4
+degrees: 0.0
+translate: 0.2
+scale: 0.9
+shear: 0.0
+perspective: 0.0
+flipud: 0.0
+fliplr: 0.5
+mosaic: 1.0
+mixup: 0.15
+copy_paste: 0.0
+paste_in: 0.15

SCB5_Teacher_Behavior_Stand_BlackBoard_Sreen_20250406/exp/opt.yaml

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+weights: yolov7.pt
+cfg: ''
+data: data/SCB5_Teacher_Behavior_Stand_BlackBoard_Sreen_20250406.yaml
+hyp: data/hyp.scratch.p5.yaml
+epochs: 50
+batch_size: 4
+img_size:
+- 640
+- 640
+rect: false
+resume: false
+nosave: false
+notest: false
+noautoanchor: false
+evolve: false
+bucket: ''
+cache_images: false
+image_weights: false
+device: ''
+multi_scale: false
+single_cls: false
+adam: false
+sync_bn: false
+local_rank: -1
+workers: 8
+project: runs/train/SCB5_Teacher_Behavior_Stand_BlackBoard_Sreen_20250406
+entity: null
+name: exp
+exist_ok: false
+quad: false
+linear_lr: false
+label_smoothing: 0.0
+upload_dataset: false
+bbox_interval: -1
+save_period: -1
+artifact_alias: latest
+world_size: 1
+global_rank: -1
+save_dir: runs/train/SCB5_Teacher_Behavior_Stand_BlackBoard_Sreen_20250406/exp
+total_batch_size: 4

SCB5_Teacher_Behavior_Stand_BlackBoard_Sreen_20250406/exp/results.txt

@@ -0,0 +1,50 @@
+      0/49     20.4G   0.04696   0.01821    0.0164   0.08157        53       640    0.8342    0.4809    0.5302    0.3292   0.06374   0.02694   0.02639
+      1/49     20.4G   0.03498   0.01625  0.009263    0.0605        40       640    0.9006    0.5255    0.6161    0.4263   0.04127   0.02992   0.02517
+      2/49     20.4G   0.03306   0.01626  0.007675     0.057        59       640    0.5568    0.8053    0.7521    0.5298   0.04654   0.02705   0.02449
+      3/49     20.4G   0.03135   0.01618  0.006447   0.05398        59       640    0.7487    0.7148    0.7395    0.5237   0.04853   0.02734   0.02587
+      4/49     20.4G   0.02834   0.01562   0.00562   0.04958        65       640    0.8091    0.8198    0.8518    0.6075   0.04573   0.02818   0.02754
+      5/49     20.4G   0.02705   0.01528  0.005338   0.04767        58       640    0.8515    0.8377    0.8843    0.6547   0.04568   0.03007   0.02873
+      6/49     20.4G   0.02626   0.01487  0.004919   0.04605        41       640    0.8578    0.8482    0.8886    0.6637   0.04256   0.03111   0.02934
+      7/49     20.4G   0.02523   0.01464  0.004585   0.04445        63       640     0.856    0.8429    0.8868    0.6915   0.04236   0.03109   0.02964
+      8/49     20.4G   0.02448    0.0144  0.004188   0.04307        19       640     0.864     0.837    0.8768    0.6929   0.04118   0.03125   0.02923
+      9/49     20.4G    0.0239   0.01412  0.004027   0.04204        33       640    0.8623    0.8328    0.8696    0.6756   0.03983   0.03083    0.0293
+     10/49     20.4G   0.02341   0.01421  0.003954   0.04158        73       640    0.8813    0.8711    0.9053    0.6934   0.03898   0.03146   0.02761
+     11/49     20.4G   0.02266   0.01383  0.003633   0.04013        56       640    0.8615     0.869    0.9031     0.723   0.03734   0.03158     0.027
+     12/49     20.4G   0.02252   0.01367  0.003534   0.03972        27       640    0.8806    0.8726    0.9114    0.7283   0.03516   0.03104   0.02668
+     13/49     20.4G   0.02185   0.01372  0.003448   0.03902        36       640    0.8726    0.8567     0.906    0.7199   0.03692   0.03167   0.02711
+     14/49     20.4G   0.02156   0.01349  0.003305   0.03836        59       640    0.8674    0.8441    0.8915    0.7136   0.03567   0.03155    0.0277
+     15/49     20.4G    0.0211   0.01318  0.003146   0.03743        85       640    0.8708    0.8876    0.9101    0.7434    0.0357   0.03201   0.02756
+     16/49     20.4G   0.02072   0.01293  0.003011   0.03666        45       640    0.8929    0.8825    0.9247    0.7583   0.02955   0.03357   0.02748
+     17/49     20.4G   0.02039   0.01275  0.002982   0.03612        36       640    0.8706    0.8886    0.9135    0.7492   0.02938   0.03389   0.02728
+     18/49     20.4G   0.02015   0.01278  0.002896   0.03582        68       640     0.861    0.8723      0.91    0.7408   0.02852   0.03358   0.02749
+     19/49     20.4G   0.01956   0.01247  0.002836   0.03487        49       640    0.8877    0.8965    0.9239    0.7499   0.02771   0.03488   0.02845
+     20/49     20.4G   0.01923   0.01237  0.002705   0.03431        41       640    0.8778    0.9052    0.9247    0.7466    0.0284   0.03484   0.02835
+     21/49     20.4G   0.01907   0.01234   0.00274   0.03415        68       640    0.8855    0.8926    0.9231    0.7574   0.02934   0.03498   0.02836
+     22/49     20.4G   0.01877   0.01237  0.002687   0.03383        69       640     0.913    0.8752     0.925    0.7685   0.02898   0.03399   0.02874
+     23/49     20.4G   0.01847   0.01195  0.002497   0.03291        44       640    0.8834    0.8923    0.9185    0.7706   0.02884   0.03446   0.02896
+     24/49     20.4G   0.01827   0.01183  0.002427   0.03252        64       640    0.8874    0.8999    0.9246    0.7676   0.02821   0.03505   0.02915
+     25/49     20.4G   0.01806   0.01192  0.002553   0.03254        68       640    0.8808    0.8783    0.9156    0.7567    0.0278   0.03677   0.02822
+     26/49     20.4G    0.0178   0.01189  0.002431   0.03213        38       640    0.8942    0.8787      0.93    0.7743   0.02768   0.03557   0.02954
+     27/49     20.4G   0.01755   0.01157  0.002345   0.03147        49       640    0.9051    0.8985    0.9322    0.7772   0.02798   0.03589    0.0294
+     28/49     20.4G   0.01727   0.01162  0.002316    0.0312        41       640    0.8988    0.8992    0.9319    0.7739   0.02805   0.03607   0.02979
+     29/49     20.4G   0.01696   0.01137  0.002247   0.03058        46       640    0.9059    0.8885    0.9335    0.7878   0.02835    0.0358   0.03012
+     30/49     20.4G   0.01656   0.01115  0.002188    0.0299        51       640    0.9108    0.8859    0.9349    0.7836   0.02812   0.03522   0.02982
+     31/49     20.4G   0.01647   0.01112   0.00211   0.02969        19       640    0.8976    0.9065    0.9374    0.7941   0.02794     0.036   0.02999
+     32/49     20.4G   0.01636   0.01105  0.002079   0.02949        59       640    0.8977    0.9056    0.9381    0.7951    0.0271   0.03609   0.03055
+     33/49     20.4G   0.01611     0.011  0.002047   0.02915        54       640    0.8874    0.9054    0.9385    0.7925   0.02675   0.03623   0.03066
+     34/49     20.4G    0.0158   0.01087  0.001998   0.02867        19       640    0.9195    0.8961    0.9391    0.8029   0.02732   0.03671   0.03116
+     35/49     20.4G   0.01568   0.01064  0.001953   0.02827        11       640    0.9314    0.8937    0.9425     0.802   0.02783   0.03612   0.03095
+     36/49     20.4G   0.01551   0.01079  0.001904    0.0282        27       640    0.9287    0.8895    0.9419    0.8069   0.02697   0.03609   0.03146
+     37/49     20.4G   0.01521   0.01049  0.001917   0.02761        21       640    0.9283    0.8882    0.9394    0.8011   0.02634   0.03632   0.03092
+     38/49     20.4G   0.01529   0.01047  0.001876   0.02764        65       640    0.9166    0.8954    0.9383    0.7993   0.02633   0.03738    0.0319
+     39/49     20.4G   0.01499   0.01044  0.001801   0.02723        58       640    0.9319    0.8904    0.9431    0.8048   0.02602   0.03801   0.03204
+     40/49     20.4G   0.01471   0.01024  0.001701   0.02665        29       640    0.9153    0.9036    0.9414    0.8037    0.0263   0.03754   0.03248
+     41/49     20.4G   0.01475   0.01025  0.001702    0.0267        33       640    0.9098    0.9069    0.9439    0.8071   0.02607   0.03775   0.03289
+     42/49     20.4G   0.01458   0.01005  0.001721   0.02635        38       640    0.9011    0.9148    0.9436    0.8093   0.02583   0.03779   0.03279
+     43/49     20.4G   0.01448   0.01002  0.001685   0.02618        19       640    0.9146    0.9109    0.9466    0.8114   0.02518   0.03925   0.03285
+     44/49     20.4G   0.01431   0.00996  0.001618   0.02589        77       640    0.9166    0.9137    0.9469    0.8126   0.02497   0.03887   0.03287
+     45/49     20.4G   0.01425   0.00986  0.001654   0.02577        46       640    0.9123    0.9103    0.9427    0.8072   0.02476   0.03882    0.0333
+     46/49     20.4G   0.01411  0.009868  0.001598   0.02558        39       640    0.9106    0.9033    0.9405    0.8081   0.02447   0.03879   0.03333
+     47/49     20.4G   0.01405  0.009798  0.001645   0.02549        60       640    0.9105    0.9111    0.9402    0.8052   0.02421   0.03956   0.03368
+     48/49     20.4G   0.01388  0.009727  0.001605   0.02521        36       640    0.9137    0.9104    0.9411     0.808    0.0242   0.03911   0.03364
+     49/49     20.4G   0.01404  0.009709  0.001581   0.02533        55       640    0.9112    0.9088    0.9399     0.808   0.02368   0.03904   0.03375

SCB5_Teacher_Behavior_Stand_BlackBoard_Sreen_20250406/exp/weights/best.pt

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SCB5_Teacher_Behavior_Stand_BlackBoard_Sreen_20250406/exp/weights/last.pt

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