diff --git a/media/Exam Monitoring System v2.v2i.yolov8.zip b/media/Exam Monitoring System v2.v2i.yolov8.zip
new file mode 100644
index 0000000000000000000000000000000000000000..f578c3e00c2b91410fa30349a6fdd406788ec24c
Binary files /dev/null and b/media/Exam Monitoring System v2.v2i.yolov8.zip differ
diff --git a/media/predicttest.py b/media/predicttest.py
new file mode 100644
index 0000000000000000000000000000000000000000..3764397eb633065db31dfc3c8358ac7279fde340
--- /dev/null
+++ b/media/predicttest.py
@@ -0,0 +1,44 @@
+import os
+
+from ultralytics import YOLO
+import cv2
+import matplotlib.pyplot as plt
+os.environ["KMP_DUPLICATE_LIB_OK"] = "TRUE"
+
+# 加载训练好的模型
+model = YOLO(r'D:\djangoProject\talktive\media\runs\detect\cheating_detection2\weights\best.pt') # 使用训练后保存的模型
+
+# 图像路径（替换为你要检测的图像路径）
+image_path = r"D:\djangoProject\talktive\media\Exam Monitoring System v2.v2i.yolov8\Dataset\images\test\cheat89_jpg.rf.e8d8fb2e4ed32f2f072672b142f4a3f3.jpg"
+
+# 运行推理
+results = model.predict(source=image_path, save=False)
+
+# 显示检测结果
+for result in results:
+ img = result.orig_img # 原始图像
+ boxes = result.boxes.xyxy # 目标框 [x_min, y_min, x_max, y_max]
+ confidences = result.boxes.conf # 置信度
+ classes = result.boxes.cls # 分类索引
+ # 加载分类名称（从 data.yaml 中提取类别）
+ class_names = model.names # 类别名称列表
+ # 绘制检测框和分类信息
+ for box, confidence, cls in zip(boxes, confidences, classes):
+ x_min, y_min, x_max, y_max = box
+ label = f"{class_names[int(cls)]} {confidence:.2f}"
+
+ # 绘制矩形框
+ cv2.rectangle(img, (int(x_min), int(y_min)), (int(x_max), int(y_max)), (0, 255, 0), 2)
+
+ # 绘制分类标签
+ cv2.putText(img, label, (int(x_min), int(y_min) - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)
+
+# 将检测结果显示
+plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
+plt.axis('off')
+plt.show()
+
+# 如果需要保存结果图像
+output_path = r"D:\djangoProject\talktive\media\result_image.jpg"
+cv2.imwrite(output_path, img)
+print(f"结果图像已保存至: {output_path}")
diff --git a/media/result_image.jpg b/media/result_image.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..3dd1446ed57a9d2b3efb229e34b9f9a0e64a62b7
Binary files /dev/null and b/media/result_image.jpg differ
diff --git a/media/runs/detect/cheating_detection/args.yaml b/media/runs/detect/cheating_detection/args.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..c5719c7559cd169a45ea734a172840d8fe3d5d40
--- /dev/null
+++ b/media/runs/detect/cheating_detection/args.yaml
@@ -0,0 +1,106 @@
+task: detect
+mode: train
+model: yolov8n.pt
+data: D:\djangoProject\talktive\media\Exam Monitoring System v2.v2i.yolov8\Dataset\data.yaml
+epochs: 50
+time: null
+patience: 100
+batch: 16
+imgsz: 640
+save: true
+save_period: -1
+cache: false
+device: null
+workers: 8
+project: null
+name: cheating_detection
+exist_ok: false
+pretrained: true
+optimizer: auto
+verbose: true
+seed: 0
+deterministic: true
+single_cls: false
+rect: false
+cos_lr: false
+close_mosaic: 10
+resume: false
+amp: true
+fraction: 1.0
+profile: false
+freeze: null
+multi_scale: false
+overlap_mask: true
+mask_ratio: 4
+dropout: 0.0
+val: true
+split: val
+save_json: false
+save_hybrid: false
+conf: null
+iou: 0.7
+max_det: 300
+half: false
+dnn: false
+plots: true
+source: null
+vid_stride: 1
+stream_buffer: false
+visualize: false
+augment: false
+agnostic_nms: false
+classes: null
+retina_masks: false
+embed: null
+show: false
+save_frames: false
+save_txt: false
+save_conf: false
+save_crop: false
+show_labels: true
+show_conf: true
+show_boxes: true
+line_width: null
+format: torchscript
+keras: false
+optimize: false
+int8: false
+dynamic: false
+simplify: true
+opset: null
+workspace: null
+nms: false
+lr0: 0.01
+lrf: 0.01
+momentum: 0.937
+weight_decay: 0.0005
+warmup_epochs: 3.0
+warmup_momentum: 0.8
+warmup_bias_lr: 0.1
+box: 7.5
+cls: 0.5
+dfl: 1.5
+pose: 12.0
+kobj: 1.0
+nbs: 64
+hsv_h: 0.015
+hsv_s: 0.7
+hsv_v: 0.4
+degrees: 0.0
+translate: 0.1
+scale: 0.5
+shear: 0.0
+perspective: 0.0
+flipud: 0.0
+fliplr: 0.5
+bgr: 0.0
+mosaic: 1.0
+mixup: 0.0
+copy_paste: 0.0
+copy_paste_mode: flip
+auto_augment: randaugment
+erasing: 0.4
+crop_fraction: 1.0
+cfg: null
+tracker: botsort.yaml
+save_dir: runs\detect\cheating_detection
diff --git a/media/runs/detect/cheating_detection/events.out.tfevents.1733748786.DESKTOP-KM6TDH9.31816.0 b/media/runs/detect/cheating_detection/events.out.tfevents.1733748786.DESKTOP-KM6TDH9.31816.0
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diff --git a/media/runs/detect/cheating_detection2/F1_curve.png b/media/runs/detect/cheating_detection2/F1_curve.png
new file mode 100644
index 0000000000000000000000000000000000000000..f56982d7197be729a3363f89b9916dde39f6873f
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diff --git a/media/runs/detect/cheating_detection2/PR_curve.png b/media/runs/detect/cheating_detection2/PR_curve.png
new file mode 100644
index 0000000000000000000000000000000000000000..9c5d2d3738b671c31dbecfd0049ee6f05ef3cd95
Binary files /dev/null and b/media/runs/detect/cheating_detection2/PR_curve.png differ
diff --git a/media/runs/detect/cheating_detection2/P_curve.png b/media/runs/detect/cheating_detection2/P_curve.png
new file mode 100644
index 0000000000000000000000000000000000000000..ef5508c15ae3daec5e0843cbee364dea4590d427
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diff --git a/media/runs/detect/cheating_detection2/R_curve.png b/media/runs/detect/cheating_detection2/R_curve.png
new file mode 100644
index 0000000000000000000000000000000000000000..c90ef6ad0660a5358a31e97f9eb98a04906bd193
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diff --git a/media/runs/detect/cheating_detection2/args.yaml b/media/runs/detect/cheating_detection2/args.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..1e3c700da37239a4b085e70bad11afe42d3f7d33
--- /dev/null
+++ b/media/runs/detect/cheating_detection2/args.yaml
@@ -0,0 +1,106 @@
+task: detect
+mode: train
+model: yolov8n.pt
+data: D:\djangoProject\talktive\media\Exam Monitoring System v2.v2i.yolov8\Dataset\data.yaml
+epochs: 50
+time: null
+patience: 100
+batch: 16
+imgsz: 640
+save: true
+save_period: -1
+cache: false
+device: null
+workers: 8
+project: null
+name: cheating_detection2
+exist_ok: false
+pretrained: true
+optimizer: auto
+verbose: true
+seed: 0
+deterministic: true
+single_cls: false
+rect: false
+cos_lr: false
+close_mosaic: 10
+resume: false
+amp: true
+fraction: 1.0
+profile: false
+freeze: null
+multi_scale: false
+overlap_mask: true
+mask_ratio: 4
+dropout: 0.0
+val: true
+split: val
+save_json: false
+save_hybrid: false
+conf: null
+iou: 0.7
+max_det: 300
+half: false
+dnn: false
+plots: true
+source: null
+vid_stride: 1
+stream_buffer: false
+visualize: false
+augment: false
+agnostic_nms: false
+classes: null
+retina_masks: false
+embed: null
+show: false
+save_frames: false
+save_txt: false
+save_conf: false
+save_crop: false
+show_labels: true
+show_conf: true
+show_boxes: true
+line_width: null
+format: torchscript
+keras: false
+optimize: false
+int8: false
+dynamic: false
+simplify: true
+opset: null
+workspace: null
+nms: false
+lr0: 0.01
+lrf: 0.01
+momentum: 0.937
+weight_decay: 0.0005
+warmup_epochs: 3.0
+warmup_momentum: 0.8
+warmup_bias_lr: 0.1
+box: 7.5
+cls: 0.5
+dfl: 1.5
+pose: 12.0
+kobj: 1.0
+nbs: 64
+hsv_h: 0.015
+hsv_s: 0.7
+hsv_v: 0.4
+degrees: 0.0
+translate: 0.1
+scale: 0.5
+shear: 0.0
+perspective: 0.0
+flipud: 0.0
+fliplr: 0.5
+bgr: 0.0
+mosaic: 1.0
+mixup: 0.0
+copy_paste: 0.0
+copy_paste_mode: flip
+auto_augment: randaugment
+erasing: 0.4
+crop_fraction: 1.0
+cfg: null
+tracker: botsort.yaml
+save_dir: runs\detect\cheating_detection2
diff --git a/media/runs/detect/cheating_detection2/confusion_matrix.png b/media/runs/detect/cheating_detection2/confusion_matrix.png
new file mode 100644
index 0000000000000000000000000000000000000000..ad9c56c90975517d24c51218e8952a725833d09c
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diff --git a/media/runs/detect/cheating_detection2/confusion_matrix_normalized.png b/media/runs/detect/cheating_detection2/confusion_matrix_normalized.png
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diff --git a/media/runs/detect/cheating_detection2/labels.jpg b/media/runs/detect/cheating_detection2/labels.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..91f6a0b356676d6d5a6664468c22d164c1d13dd5
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diff --git a/media/runs/detect/cheating_detection2/labels_correlogram.jpg b/media/runs/detect/cheating_detection2/labels_correlogram.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..78e1979a7b1032db69d0aeb7d057e5667fe208c0
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diff --git a/media/runs/detect/cheating_detection2/results.csv b/media/runs/detect/cheating_detection2/results.csv
new file mode 100644
index 0000000000000000000000000000000000000000..da7932d94dd0a2e00d3a6e9cacb4150f3f971fb6
--- /dev/null
+++ b/media/runs/detect/cheating_detection2/results.csv
@@ -0,0 +1,51 @@
+epoch,time,train/box_loss,train/cls_loss,train/dfl_loss,metrics/precision(B),metrics/recall(B),metrics/mAP50(B),metrics/mAP50-95(B),val/box_loss,val/cls_loss,val/dfl_loss,lr/pg0,lr/pg1,lr/pg2
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diff --git a/media/training.py b/media/training.py
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index 0000000000000000000000000000000000000000..3944928f42abf4022732242505d78062dc8337b0
--- /dev/null
+++ b/media/training.py
@@ -0,0 +1,27 @@
+from ultralytics import YOLO
+import os
+os.environ["KMP_DUPLICATE_LIB_OK"] = "TRUE"
+
+# 数据集路径和配置文件
+yaml_path = r"D:\djangoProject\talktive\media\Exam Monitoring System v2.v2i.yolov8\Dataset\data.yaml"
+
+# 初始化模型 (预训练权重)
+model = YOLO('yolov8n.pt') # 使用 YOLOv8n 的预训练权重
+
+# 开始训练
+model.train(
+ data=yaml_path, # YAML 配置文件路径
+ epochs=50, # 训练轮数
+ imgsz=640, # 输入图像大小
+ batch=16, # 每批训练数据量
+ name='cheating_detection' # 模型保存名称
+)
+
+# 打印验证报告
+print("Validation Report:")
+metrics = model.val() # 运行验证
+for key, value in metrics.items():
+ print(f"{key}: {value}")
+
+# 如果需要导出训练好的模型
+model.export(format='onnx') # 导出为 ONNX 格式（可选）
diff --git a/media/yolov8n.pt b/media/yolov8n.pt
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