{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.7.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"gpu","dataSources":[{"sourceId":3362,"databundleVersionId":31148,"sourceType":"competition"}],"dockerImageVersionId":30408,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# NAU 项目 Resnet50 for dog vs. cat Classification\n\n- 基于预训练的 Resnet50 加速训练猫狗分类｜use a Pre Trained Model like Resnet50 for Classification of Dog Breed.\n\n- Resnet50优势：1. 残差连接：深度网络的梯度消失爆炸问题，使训练更稳定。2. 迁移学习优势，底层特征(边缘、纹理等)可迁移到各种视觉任务","metadata":{}},{"cell_type":"code","source":"import pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nimport os \n\nimport tensorflow as tf\ntf.config.run_functions_eagerly(True)\nimport tensorflow_hub as hub\nfrom tensorflow.keras.models import Sequential, Model\nfrom tensorflow.keras.layers import Dense, Input, InputLayer\nfrom tensorflow.keras.callbacks import ModelCheckpoint, EarlyStopping\n\nimport warnings\nwarnings.filterwarnings(\"ignore\") ","metadata":{"execution":{"iopub.status.busy":"2025-04-14T02:09:47.596447Z","iopub.execute_input":"2025-04-14T02:09:47.596783Z","iopub.status.idle":"2025-04-14T02:09:55.522315Z","shell.execute_reply.started":"2025-04-14T02:09:47.59673Z","shell.execute_reply":"2025-04-14T02:09:55.521122Z"},"trusted":true},"outputs":[],"execution_count":1},{"cell_type":"markdown","source":"","metadata":{},"attachments":{"d9fe3ea0-0165-44b4-9e11-7e0559e50dd0.png":{"image/png":"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"}}},{"cell_type":"code","source":"# ResNet的残差块 tensorflow 示例\nimport tensorflow as tf\nfrom tensorflow.keras import layers, Model\n\n# 何凯明的老版本，BatchNormalization没有后置，shortcut 梯度传递没有那么顺畅\nclass ResidualBlock(tf.keras.Model):\n def __init__(self, in_channels, out_channels, stride=1):\n super(ResidualBlock, self).__init__()\n self.conv1 = layers.Conv2D(out_channels, kernel_size=3, strides=stride, padding='same')\n self.bn1 = layers.BatchNormalization()\n self.conv2 = layers.Conv2D(out_channels, kernel_size=3, padding='same')\n self.bn2 = layers.BatchNormalization()\n \n # 残差连接（输入输出维度不一致时需调整）\n if in_channels == out_channels:\n self.shortcut = tf.identity # 直接返回输入\n else:\n self.shortcut = tf.keras.Sequential([\n layers.Conv2D(out_channels, kernel_size=1, strides=stride),\n layers.BatchNormalization()\n ])\n\n def call(self, x):\n out = tf.nn.relu(self.bn1(self.conv1(x)))\n out = self.bn2(self.conv2(out))\n out += self.shortcut(x) # 关键：残差连接\n return tf.nn.relu(out)\n\n\nclass ResidualBlockV2(tf.keras.Model):\n def __init__(self, in_channels, out_channels, stride=1):\n super(ResidualBlockV2, self).__init__()\n self.bn1 = layers.BatchNormalization() # BatchNormalization前置\n self.conv1 = layers.Conv2D(out_channels, kernel_size=3, strides=stride, padding='same')\n self.bn2 = layers.BatchNormalization()\n self.conv2 = layers.Conv2D(out_channels, kernel_size=3, padding='same')\n \n # 残差连接（如果输入输出维度不一致）\n if in_channels != out_channels or stride != 1:\n self.shortcut = tf.keras.Sequential([\n layers.Conv2D(out_channels, kernel_size=1, strides=stride),\n ])\n else:\n self.shortcut = tf.identity # 直接返回输入\n\n def call(self, x):\n # Pre-Activation 结构：BN → ReLU → Conv\n out = tf.nn.relu(self.bn1(x))\n out = self.conv1(out)\n\n out = tf.nn.relu(self.bn2(out))\n out = self.conv2(out)\n \n # 残差连接\n shortcut = self.shortcut(x) if hasattr(self.shortcut, '__call__') else self.shortcut(out)\n return out + shortcut\n\n\n# # ResNet的残差块（PyTorch示例）\n# class ResidualBlock(nn.Module):\n# def __init__(self, in_channels, out_channels, stride=1):\n# super().__init__()\n# self.conv1 = nn.Conv2d(in_channels, out_channels, kernel_size=3, stride=stride, padding=1)\n# self.bn1 = nn.BatchNorm2d(out_channels)\n# self.conv2 = nn.Conv2d(out_channels, out_channels, kernel_size=3, padding=1)\n# self.bn2 = nn.BatchNorm2d(out_channels)\n# # 残差连接（输入输出维度不一致时需调整）\n# if in_channels == out_channels:\n# self.shortcut = nn.Sequential() \n# else:\n# self.shortcut = = nn.Sequential(\n# nn.Conv2d(in_channels, out_channels, kernel_size=1, stride=stride),\n# nn.BatchNorm2d(out_channels)\n# )\n\n# def forward(self, x):\n# out = F.relu(self.bn1(self.conv1(x)))\n# out = self.bn2(self.conv2(out))\n# out += self.shortcut(x) # 关键：残差连接\n# return F.relu(out)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-04-07T07:44:42.395805Z","iopub.execute_input":"2025-04-07T07:44:42.396242Z","iopub.status.idle":"2025-04-07T07:44:42.40914Z","shell.execute_reply.started":"2025-04-07T07:44:42.396209Z","shell.execute_reply":"2025-04-07T07:44:42.407947Z"}},"outputs":[],"execution_count":270},{"cell_type":"markdown","source":"# 检查数据","metadata":{}},{"cell_type":"code","source":"train_path = \"../input/dogs-vs-cats/test1.zip\"\ntest_path = \"../input/dogs-vs-cats/train.zip\"\nfiles = \"/kaggle/working/\"\n\n# 解压缩zip\nimport zipfile\nwith zipfile.ZipFile(train_path, 'r') as zipp:\n zipp.extractall(files)\n \nwith zipfile.ZipFile(test_path, 'r') as zipp:\n zipp.extractall(files)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-04-07T01:37:13.405233Z","iopub.execute_input":"2025-04-07T01:37:13.406117Z","iopub.status.idle":"2025-04-07T01:37:28.348089Z","shell.execute_reply.started":"2025-04-07T01:37:13.406081Z","shell.execute_reply":"2025-04-07T01:37:28.347142Z"}},"outputs":[],"execution_count":7},{"cell_type":"code","source":"image_dir = \"../working/train/\"\n\n# 提取 label from filename\nfilenames = os.listdir(image_dir)\nlabels = [x.split(\".\")[0] for x in filenames]\ndata = pd.DataFrame({\"filename\": filenames, \"label\": labels})\ndata.head()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-04-07T01:38:47.409843Z","iopub.execute_input":"2025-04-07T01:38:47.410613Z","iopub.status.idle":"2025-04-07T01:38:47.455924Z","shell.execute_reply.started":"2025-04-07T01:38:47.410575Z","shell.execute_reply":"2025-04-07T01:38:47.454902Z"}},"outputs":[{"execution_count":18,"output_type":"execute_result","data":{"text/plain":" filename label\n0 dog.2401.jpg dog\n1 dog.8284.jpg dog\n2 dog.5648.jpg dog\n3 cat.4635.jpg cat\n4 dog.4471.jpg dog","text/html":"\n\n
\n \n \n | \n filename | \n label | \n
\n \n \n \n | 0 | \n dog.2401.jpg | \n dog | \n
\n \n | 1 | \n dog.8284.jpg | \n dog | \n
\n \n | 2 | \n dog.5648.jpg | \n dog | \n
\n \n | 3 | \n cat.4635.jpg | \n cat | \n
\n \n | 4 | \n dog.4471.jpg | \n dog | \n
\n \n
\n