diff --git a/.gitignore b/.gitignore index 2407183..c6d122a 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,4 @@ *.jpg *.png +*.pth __pycache__ diff --git a/config/train.yaml b/config/train.yaml index a9e971b..e88a1e9 100644 --- a/config/train.yaml +++ b/config/train.yaml @@ -8,9 +8,9 @@ epochs: 100 # 每一类的占比权重，如果要让每一类的占比权重相同，为1.0即可 weight: - 1.0 - - 1.9 + - 2.9 - 1.0 - - 1.2 + - 1.8 # 数据集存放位置 root: diff --git a/pretrained/holdplace b/pretrained/holdplace new file mode 100644 index 0000000..e69de29 diff --git a/test.ipynb b/test.ipynb index 5dc1bf9..2d00373 100644 --- a/test.ipynb +++ b/test.ipynb @@ -88,10 +88,2950 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "001956.png: True, False, False\n", + "001890.png: True, False, False\n", + "003870.png: True, False, True\n", + "002630.png: False, False, True\n", + "001664.png: 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"source": [ + "# 定义图片文件夹路径\n", + "folder_path = 'dataset/train/labels'\n", + "\n", + "contains_1 = 0\n", + "contains_2 = 0\n", + "contains_3 = 0\n", + "\n", + "# 遍历文件夹中的所有 PNG 图片\n", + "for filename in os.listdir(folder_path):\n", + " if filename.endswith('.png'):\n", + " image_path = os.path.join(folder_path, filename)\n", + " # 读取图片\n", + " image = Image.open(image_path)\n", + "\n", + " # 将图片转换为 NumPy 数组\n", + " image_array = np.array(image)\n", + " \n", + " # 检查图片中是否出现 1, 2, 3\n", + " contains_1 += 1 if 1 in image_array else 0\n", + " contains_2 += 1 if 2 in image_array else 0\n", + " contains_3 += 1 if 3 in image_array else 0\n", + " # print(f\"{filename}: {contains_1}, {contains_2}, {contains_3}\")\n", + " \n", + "# 打印结果\n", + "print(f\"包含 1: {contains_1}\")\n", + "print(f\"包含 2: {contains_2}\")\n", + "print(f\"包含 3: {contains_3}\")\n", + "print(\"-\" * 30)" + ] } ], "metadata": {