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diff --git a/data/labels/train/2.txt b/data/labels/train/2.txt
index b418b12..19b728e 100644
--- a/data/labels/train/2.txt
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diff --git a/data/labels/train/3.txt b/data/labels/train/3.txt
index 6d7b971..1470b5a 100644
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diff --git a/data/labels/train/4.txt b/data/labels/train/4.txt
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@@ -1,2 +1 @@
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index 0000000..7a2c9f8
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index b418b12..5e1e279 100644
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index 485349b..1cc3c54 100644
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+++ b/data/labels/val/4.txt
@@ -1,2 +1 @@
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index f35316d..6322725 100644
--- a/data/labels/val/5.txt
+++ b/data/labels/val/5.txt
@@ -1 +1 @@
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+task: detect
+mode: train
+model: yolov8n.pt
+data: data.yaml
+epochs: 100
+time: null
+patience: 100
+batch: 3
+imgsz: 640
+save: true
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+val: true
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+plots: true
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diff --git a/runs/detect/train10/confusion_matrix.png b/runs/detect/train10/confusion_matrix.png
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diff --git a/runs/detect/train10/confusion_matrix_normalized.png b/runs/detect/train10/confusion_matrix_normalized.png
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diff --git a/runs/detect/train10/labels.jpg b/runs/detect/train10/labels.jpg
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diff --git a/runs/detect/train10/results.csv b/runs/detect/train10/results.csv
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+6,39.2909,3.50874,22.7099,1.76584,0,0,0,0,4.09483,9.41836,2.60875,0.000448615,0.000448615,0.000448615
+7,45.999,3.46468,21.5369,1.78773,0,0,0,0,4.37917,10.7141,3.12062,0.000523962,0.000523962,0.000523962
+8,52.4319,3.30664,18.5804,1.6821,0,0,0,0,4.47329,13.4159,3.74995,0.000598517,0.000598517,0.000598517
+9,59.1523,2.21643,27.0262,1.19613,0,0,0,0,6.53216,16.1783,7.59617,0.00067228,0.00067228,0.00067228
+10,65.9499,4.07007,24.105,1.93188,0,0,0,0,5.4014,12.0196,3.76315,0.000745251,0.000745251,0.000745251
diff --git a/runs/detect/train17/train_batch0.jpg b/runs/detect/train17/train_batch0.jpg
new file mode 100644
index 0000000..1a5ecb9
Binary files /dev/null and b/runs/detect/train17/train_batch0.jpg differ
diff --git a/runs/detect/train17/train_batch1.jpg b/runs/detect/train17/train_batch1.jpg
new file mode 100644
index 0000000..fabd001
Binary files /dev/null and b/runs/detect/train17/train_batch1.jpg differ
diff --git a/runs/detect/train17/train_batch2.jpg b/runs/detect/train17/train_batch2.jpg
new file mode 100644
index 0000000..0bdd78f
Binary files /dev/null and b/runs/detect/train17/train_batch2.jpg differ
diff --git a/runs/detect/train17/weights/best.pt b/runs/detect/train17/weights/best.pt
new file mode 100644
index 0000000..fef065a
Binary files /dev/null and b/runs/detect/train17/weights/best.pt differ
diff --git a/runs/detect/train17/weights/last.pt b/runs/detect/train17/weights/last.pt
new file mode 100644
index 0000000..fef065a
Binary files /dev/null and b/runs/detect/train17/weights/last.pt differ
diff --git a/src/data.py b/src/data.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/data.yaml b/src/data.yaml
index 3ef2da6..bfcd392 100644
--- a/src/data.yaml
+++ b/src/data.yaml
@@ -1,5 +1,6 @@
 path: C:\workspace\le-yolo\data
 train: images/train
 val: images/val
+test: images/test
 nc: 1
 names: [ 'person' ]
\ No newline at end of file
diff --git a/src/test.py b/src/test.py
index ecf7938..3a12790 100644
--- a/src/test.py
+++ b/src/test.py
@@ -1,3 +1,3 @@
 from ultralytics import YOLO
-model = YOLO(r"C:\workspace\le-yolo\runs\detect\train9\weights\best.pt")
-results = model.predict("../res/2.mp4", show=True, save=True)
\ No newline at end of file
+model = YOLO(r"C:\workspace\le-yolo\runs\detect\train16\weights\best.pt")
+results = model.predict("../res/1.mp4", show=True, save=True)
\ No newline at end of file
diff --git a/src/train.py b/src/train.py
index c4d51d4..3b6af79 100644
--- a/src/train.py
+++ b/src/train.py
@@ -1,4 +1,5 @@
 from ultralytics import YOLO
 model = YOLO("yolov8n.pt")
-model.train(data="data.yaml", epochs=100,  batch=3, device='cpu')
+model.train(data="data.yaml", epochs=200,  batch=8, device='cpu')
+model.val()
 print('训练完成')
\ No newline at end of file
diff --git a/src/video.py b/src/video.py
new file mode 100644
index 0000000..dbfeffa
--- /dev/null
+++ b/src/video.py
@@ -0,0 +1,16 @@
+import cv2
+videopath = 'C:/workspace/le-yolo/res/1.mp4'
+video = cv2.VideoCapture(videopath)
+num = 0
+if video.isOpened():
+    ret, frame = video.read()
+else:
+    ret = False
+timeF = 8
+while ret:
+    ret, frame = video.read()
+    if num % timeF == 0:
+        cv2.imwrite('C:/workspace/le-yolo/data/images/train/t_' + str(num) + '.jpg', frame)
+    num = num + 1
+    cv2.waitKey(1)
+video.release()
\ No newline at end of file