[CF]提交文件

runs/detect/train30/results.csv

@@ -1,3 +1,33 @@
 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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runs/detect/train31/args.yaml

@@ -0,0 +1,105 @@
+task: detect
+mode: train
+model: C:\workspace\le-yolo\runs\detect\train30\weights\last.pt
+data: data.yaml
+epochs: 500
+time: null
+patience: 100
+batch: 8
+imgsz: 640
+save: true
+save_period: -1
+cache: false
+device: cpu
+workers: 8
+project: null
+name: train31
+exist_ok: false
+pretrained: true
+optimizer: auto
+verbose: true
+seed: 0
+deterministic: true
+single_cls: false
+rect: false
+cos_lr: false
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+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
+conf: null
+iou: 0.7
+max_det: 300
+half: false
+dnn: false
+plots: true
+source: null
+vid_stride: 1
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+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
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+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
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+copy_paste: 0.0
+copy_paste_mode: flip
+auto_augment: randaugment
+erasing: 0.4
+cfg: null
+tracker: botsort.yaml
+save_dir: C:\workspace\le-yolo\runs\detect\train31

runs/detect/train31/results.csv

@@ -0,0 +1,104 @@
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runs/detect/train32/args.yaml

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runs/detect/train32/results.csv

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src/data.py

@@ -4,24 +4,13 @@ import os
 from PIL import Image,ImageEnhance
 from PIL import Image
 import os
-
+folder_path = 'C:/workspace/le-yolo/data/images/train'
-# 指定文件夹路径
-folder_path = 'your_folder_path'
-
-# 遍历文件夹中的所有文件
 for filename in os.listdir(folder_path):
-    # 检查文件是否是图片（这里以常见的图片格式为例）
     if filename.lower().endswith(('.png', '.jpg', '.jpeg', '.bmp', '.gif')):
-        # 打开图片
         img_path = os.path.join(folder_path, filename)
         img = Image.open(img_path)
-
-        # 转换为灰度图像
         gray_img = img.convert('L')
-
+        new_filename = os.path.splitext(filename)[0] + '_gray.jpg'  # 修改为新文件名，如 "image_gray.jpg"
-        # 保存灰度图像（可以保存到原文件夹或指定的新文件夹）
+        new_img_path = os.path.join(folder_path, new_filename)
-        # 这里以在原文件夹保存为例，文件名不变，只是修改了内容
+        gray_img.save(new_img_path)
-        gray_img.save(img_path)
-
         print(f"已将 {filename} 转换为灰度图像并保存")
-

src/data.yaml

@@ -1,6 +1,6 @@
 path: C:\workspace\le-yolo\data
-train: images/train
+train: images/test
-val: images/test
+val: images/val
-test: images/val
+test: images/train
 nc: 1
 names: [ 'person' ]