{ "cells": [ { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Error: No model config found in the file at weights/MesoInception_DF.h5.\n" ] } ], "source": [ "from tensorflow.keras.models import load_model\n", "\n", "try:\n", " model = load_model(\"weights/Meso4_DF.h5\")\n", " model = build_mesonet()\n", " print(model.summary())\n", "\n", "except ValueError as e:\n", " print(\"Error:\", e)\n" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "dict_keys(['model', 'optimizer', 'total_steps'])\n", "odict_keys(['base.0.weight', 'base.1.weight', 'base.1.bias', 'base.1.running_mean', 'base.1.running_var', 'base.1.num_batches_tracked', 'base.3.0.conv1.weight', 'base.3.0.bn1.weight', 'base.3.0.bn1.bias', 'base.3.0.bn1.running_mean', 'base.3.0.bn1.running_var', 'base.3.0.bn1.num_batches_tracked', 'base.3.0.conv2.weight', 'base.3.0.bn2.weight', 'base.3.0.bn2.bias', 'base.3.0.bn2.running_mean', 'base.3.0.bn2.running_var', 'base.3.0.bn2.num_batches_tracked', 'base.4.0.conv1.weight', 'base.4.0.bn1.weight', 'base.4.0.bn1.bias', 'base.4.0.bn1.running_mean', 'base.4.0.bn1.running_var', 'base.4.0.bn1.num_batches_tracked', 'base.4.0.conv2.weight', 'base.4.0.bn2.weight', 'base.4.0.bn2.bias', 'base.4.0.bn2.running_mean', 'base.4.0.bn2.running_var', 'base.4.0.bn2.num_batches_tracked', 'base.4.0.downsample.0.weight', 'base.4.0.downsample.1.weight', 'base.4.0.downsample.1.bias', 'base.4.0.downsample.1.running_mean', 'base.4.0.downsample.1.running_var', 'base.4.0.downsample.1.num_batches_tracked', 'base.5.0.conv1.weight', 'base.5.0.bn1.weight', 'base.5.0.bn1.bias', 'base.5.0.bn1.running_mean', 'base.5.0.bn1.running_var', 'base.5.0.bn1.num_batches_tracked', 'base.5.0.conv2.weight', 'base.5.0.bn2.weight', 'base.5.0.bn2.bias', 'base.5.0.bn2.running_mean', 'base.5.0.bn2.running_var', 'base.5.0.bn2.num_batches_tracked', 'base.5.0.downsample.0.weight', 'base.5.0.downsample.1.weight', 'base.5.0.downsample.1.bias', 'base.5.0.downsample.1.running_mean', 'base.5.0.downsample.1.running_var', 'base.5.0.downsample.1.num_batches_tracked', 'base.5.1.conv1.weight', 'base.5.1.bn1.weight', 'base.5.1.bn1.bias', 'base.5.1.bn1.running_mean', 'base.5.1.bn1.running_var', 'base.5.1.bn1.num_batches_tracked', 'base.5.1.conv2.weight', 'base.5.1.bn2.weight', 'base.5.1.bn2.bias', 'base.5.1.bn2.running_mean', 'base.5.1.bn2.running_var', 'base.5.1.bn2.num_batches_tracked', 'base.6.0.conv1.weight', 'base.6.0.bn1.weight', 'base.6.0.bn1.bias', 'base.6.0.bn1.running_mean', 'base.6.0.bn1.running_var', 'base.6.0.bn1.num_batches_tracked', 'base.6.0.conv2.weight', 'base.6.0.bn2.weight', 'base.6.0.bn2.bias', 'base.6.0.bn2.running_mean', 'base.6.0.bn2.running_var', 'base.6.0.bn2.num_batches_tracked', 'base.6.0.downsample.0.weight', 'base.6.0.downsample.1.weight', 'base.6.0.downsample.1.bias', 'base.6.0.downsample.1.running_mean', 'base.6.0.downsample.1.running_var', 'base.6.0.downsample.1.num_batches_tracked', 'base.6.1.conv1.weight', 'base.6.1.bn1.weight', 'base.6.1.bn1.bias', 'base.6.1.bn1.running_mean', 'base.6.1.bn1.running_var', 'base.6.1.bn1.num_batches_tracked', 'base.6.1.conv2.weight', 'base.6.1.bn2.weight', 'base.6.1.bn2.bias', 'base.6.1.bn2.running_mean', 'base.6.1.bn2.running_var', 'base.6.1.bn2.num_batches_tracked', 'base.7.0.conv1.weight', 'base.7.0.bn1.weight', 'base.7.0.bn1.bias', 'base.7.0.bn1.running_mean', 'base.7.0.bn1.running_var', 'base.7.0.bn1.num_batches_tracked', 'base.7.0.conv2.weight', 'base.7.0.bn2.weight', 'base.7.0.bn2.bias', 'base.7.0.bn2.running_mean', 'base.7.0.bn2.running_var', 'base.7.0.bn2.num_batches_tracked', 'base.7.0.downsample.0.weight', 'base.7.0.downsample.1.weight', 'base.7.0.downsample.1.bias', 'base.7.0.downsample.1.running_mean', 'base.7.0.downsample.1.running_var', 'base.7.0.downsample.1.num_batches_tracked', 'base.7.1.conv1.weight', 'base.7.1.bn1.weight', 'base.7.1.bn1.bias', 'base.7.1.bn1.running_mean', 'base.7.1.bn1.running_var', 'base.7.1.bn1.num_batches_tracked', 'base.7.1.conv2.weight', 'base.7.1.bn2.weight', 'base.7.1.bn2.bias', 'base.7.1.bn2.running_mean', 'base.7.1.bn2.running_var', 'base.7.1.bn2.num_batches_tracked', 'base.8.0.conv1.weight', 'base.8.0.bn1.weight', 'base.8.0.bn1.bias', 'base.8.0.bn1.running_mean', 'base.8.0.bn1.running_var', 'base.8.0.bn1.num_batches_tracked', 'base.8.0.conv2.weight', 'base.8.0.bn2.weight', 'base.8.0.bn2.bias', 'base.8.0.bn2.running_mean', 'base.8.0.bn2.running_var', 'base.8.0.bn2.num_batches_tracked', 'base.8.0.downsample.0.weight', 'base.8.0.downsample.1.weight', 'base.8.0.downsample.1.bias', 'base.8.0.downsample.1.running_mean', 'base.8.0.downsample.1.running_var', 'base.8.0.downsample.1.num_batches_tracked', 'base.8.1.conv1.weight', 'base.8.1.bn1.weight', 'base.8.1.bn1.bias', 'base.8.1.bn1.running_mean', 'base.8.1.bn1.running_var', 'base.8.1.bn1.num_batches_tracked', 'base.8.1.conv2.weight', 'base.8.1.bn2.weight', 'base.8.1.bn2.bias', 'base.8.1.bn2.running_mean', 'base.8.1.bn2.running_var', 'base.8.1.bn2.num_batches_tracked', 'base.9.0.conv1.weight', 'base.9.0.bn1.weight', 'base.9.0.bn1.bias', 'base.9.0.bn1.running_mean', 'base.9.0.bn1.running_var', 'base.9.0.bn1.num_batches_tracked', 'base.9.0.conv2.weight', 'base.9.0.bn2.weight', 'base.9.0.bn2.bias', 'base.9.0.bn2.running_mean', 'base.9.0.bn2.running_var', 'base.9.0.bn2.num_batches_tracked', 'base.10.0.conv1.weight', 'base.10.0.bn1.weight', 'base.10.0.bn1.bias', 'base.10.0.bn1.running_mean', 'base.10.0.bn1.running_var', 'base.10.0.bn1.num_batches_tracked', 'base.10.0.conv2.weight', 'base.10.0.bn2.weight', 'base.10.0.bn2.bias', 'base.10.0.bn2.running_mean', 'base.10.0.bn2.running_var', 'base.10.0.bn2.num_batches_tracked', 'fc.weight', 'fc.bias'])\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/var/folders/gk/dgwp60013hn03btcjj09ffsh0000gn/T/ipykernel_49733/3826121742.py:3: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n", " global_checkpoint = torch.load(\"weights/global.pth\", map_location=\"cpu\")\n" ] } ], "source": [ "import torch\n", "\n", "global_checkpoint = torch.load(\"weights/global.pth\", map_location=\"cpu\")\n", "print(global_checkpoint.keys()) # Output all keys in the checkpoint\n", "if \"model\" in global_checkpoint:\n", " print(global_checkpoint[\"model\"].keys()) # Output model-specific keys\n" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/var/folders/gk/dgwp60013hn03btcjj09ffsh0000gn/T/ipykernel_49733/1273857419.py:3: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n", " checkpoint = torch.load(\"weights/cvit2_deepfake_detection_ep_50.pth\", map_location=\"cpu\")\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Keys in checkpoint: dict_keys(['epoch', 'state_dict', 'optimizer', 'min_loss'])\n", "Keys in state_dict: odict_keys(['pos_embedding', 'cls_token', 'features.0.weight', 'features.0.bias', 'features.1.weight', 'features.1.bias', 'features.1.running_mean', 'features.1.running_var', 'features.1.num_batches_tracked', 'features.3.weight', 'features.3.bias', 'features.4.weight', 'features.4.bias', 'features.4.running_mean', 'features.4.running_var', 'features.4.num_batches_tracked', 'features.6.weight', 'features.6.bias', 'features.7.weight', 'features.7.bias', 'features.7.running_mean', 'features.7.running_var', 'features.7.num_batches_tracked', 'features.10.weight', 'features.10.bias', 'features.11.weight', 'features.11.bias', 'features.11.running_mean', 'features.11.running_var', 'features.11.num_batches_tracked', 'features.13.weight', 'features.13.bias', 'features.14.weight', 'features.14.bias', 'features.14.running_mean', 'features.14.running_var', 'features.14.num_batches_tracked', 'features.16.weight', 'features.16.bias', 'features.17.weight', 'features.17.bias', 'features.17.running_mean', 'features.17.running_var', 'features.17.num_batches_tracked', 'features.20.weight', 'features.20.bias', 'features.21.weight', 'features.21.bias', 'features.21.running_mean', 'features.21.running_var', 'features.21.num_batches_tracked', 'features.23.weight', 'features.23.bias', 'features.24.weight', 'features.24.bias', 'features.24.running_mean', 'features.24.running_var', 'features.24.num_batches_tracked', 'features.26.weight', 'features.26.bias', 'features.27.weight', 'features.27.bias', 'features.27.running_mean', 'features.27.running_var', 'features.27.num_batches_tracked', 'features.30.weight', 'features.30.bias', 'features.31.weight', 'features.31.bias', 'features.31.running_mean', 'features.31.running_var', 'features.31.num_batches_tracked', 'features.33.weight', 'features.33.bias', 'features.34.weight', 'features.34.bias', 'features.34.running_mean', 'features.34.running_var', 'features.34.num_batches_tracked', 'features.36.weight', 'features.36.bias', 'features.37.weight', 'features.37.bias', 'features.37.running_mean', 'features.37.running_var', 'features.37.num_batches_tracked', 'features.39.weight', 'features.39.bias', 'features.40.weight', 'features.40.bias', 'features.40.running_mean', 'features.40.running_var', 'features.40.num_batches_tracked', 'features.43.weight', 'features.43.bias', 'features.44.weight', 'features.44.bias', 'features.44.running_mean', 'features.44.running_var', 'features.44.num_batches_tracked', 'features.46.weight', 'features.46.bias', 'features.47.weight', 'features.47.bias', 'features.47.running_mean', 'features.47.running_var', 'features.47.num_batches_tracked', 'features.49.weight', 'features.49.bias', 'features.50.weight', 'features.50.bias', 'features.50.running_mean', 'features.50.running_var', 'features.50.num_batches_tracked', 'features.52.weight', 'features.52.bias', 'features.53.weight', 'features.53.bias', 'features.53.running_mean', 'features.53.running_var', 'features.53.num_batches_tracked', 'patch_to_embedding.weight', 'patch_to_embedding.bias', 'transformer.layers.0.0.fn.norm.weight', 'transformer.layers.0.0.fn.norm.bias', 'transformer.layers.0.0.fn.fn.to_qkv.weight', 'transformer.layers.0.0.fn.fn.to_out.weight', 'transformer.layers.0.0.fn.fn.to_out.bias', 'transformer.layers.0.1.fn.norm.weight', 'transformer.layers.0.1.fn.norm.bias', 'transformer.layers.0.1.fn.fn.net.0.weight', 'transformer.layers.0.1.fn.fn.net.0.bias', 'transformer.layers.0.1.fn.fn.net.2.weight', 'transformer.layers.0.1.fn.fn.net.2.bias', 'transformer.layers.1.0.fn.norm.weight', 'transformer.layers.1.0.fn.norm.bias', 'transformer.layers.1.0.fn.fn.to_qkv.weight', 'transformer.layers.1.0.fn.fn.to_out.weight', 'transformer.layers.1.0.fn.fn.to_out.bias', 'transformer.layers.1.1.fn.norm.weight', 'transformer.layers.1.1.fn.norm.bias', 'transformer.layers.1.1.fn.fn.net.0.weight', 'transformer.layers.1.1.fn.fn.net.0.bias', 'transformer.layers.1.1.fn.fn.net.2.weight', 'transformer.layers.1.1.fn.fn.net.2.bias', 'transformer.layers.2.0.fn.norm.weight', 'transformer.layers.2.0.fn.norm.bias', 'transformer.layers.2.0.fn.fn.to_qkv.weight', 'transformer.layers.2.0.fn.fn.to_out.weight', 'transformer.layers.2.0.fn.fn.to_out.bias', 'transformer.layers.2.1.fn.norm.weight', 'transformer.layers.2.1.fn.norm.bias', 'transformer.layers.2.1.fn.fn.net.0.weight', 'transformer.layers.2.1.fn.fn.net.0.bias', 'transformer.layers.2.1.fn.fn.net.2.weight', 'transformer.layers.2.1.fn.fn.net.2.bias', 'transformer.layers.3.0.fn.norm.weight', 'transformer.layers.3.0.fn.norm.bias', 'transformer.layers.3.0.fn.fn.to_qkv.weight', 'transformer.layers.3.0.fn.fn.to_out.weight', 'transformer.layers.3.0.fn.fn.to_out.bias', 'transformer.layers.3.1.fn.norm.weight', 'transformer.layers.3.1.fn.norm.bias', 'transformer.layers.3.1.fn.fn.net.0.weight', 'transformer.layers.3.1.fn.fn.net.0.bias', 'transformer.layers.3.1.fn.fn.net.2.weight', 'transformer.layers.3.1.fn.fn.net.2.bias', 'transformer.layers.4.0.fn.norm.weight', 'transformer.layers.4.0.fn.norm.bias', 'transformer.layers.4.0.fn.fn.to_qkv.weight', 'transformer.layers.4.0.fn.fn.to_out.weight', 'transformer.layers.4.0.fn.fn.to_out.bias', 'transformer.layers.4.1.fn.norm.weight', 'transformer.layers.4.1.fn.norm.bias', 'transformer.layers.4.1.fn.fn.net.0.weight', 'transformer.layers.4.1.fn.fn.net.0.bias', 'transformer.layers.4.1.fn.fn.net.2.weight', 'transformer.layers.4.1.fn.fn.net.2.bias', 'transformer.layers.5.0.fn.norm.weight', 'transformer.layers.5.0.fn.norm.bias', 'transformer.layers.5.0.fn.fn.to_qkv.weight', 'transformer.layers.5.0.fn.fn.to_out.weight', 'transformer.layers.5.0.fn.fn.to_out.bias', 'transformer.layers.5.1.fn.norm.weight', 'transformer.layers.5.1.fn.norm.bias', 'transformer.layers.5.1.fn.fn.net.0.weight', 'transformer.layers.5.1.fn.fn.net.0.bias', 'transformer.layers.5.1.fn.fn.net.2.weight', 'transformer.layers.5.1.fn.fn.net.2.bias', 'mlp_head.0.weight', 'mlp_head.0.bias', 'mlp_head.2.weight', 'mlp_head.2.bias'])\n" ] } ], "source": [ "import torch\n", "\n", "checkpoint = torch.load(\"weights/cvit2_deepfake_detection_ep_50.pth\", map_location=\"cpu\")\n", "print(\"Keys in checkpoint:\", checkpoint.keys())\n", "\n", "if \"state_dict\" in checkpoint:\n", " state_dict = checkpoint[\"state_dict\"]\n", "else:\n", " state_dict = checkpoint\n", "\n", "print(\"Keys in state_dict:\", state_dict.keys())\n" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Keys in file: ['batch_normalization_1', 'batch_normalization_2', 'batch_normalization_3', 'batch_normalization_4', 'concatenate_1', 'concatenate_2', 'conv2d_1', 'conv2d_10', 'conv2d_11', 'conv2d_12', 'conv2d_13', 'conv2d_14', 'conv2d_15', 'conv2d_16', 'conv2d_2', 'conv2d_3', 'conv2d_4', 'conv2d_5', 'conv2d_6', 'conv2d_7', 'conv2d_8', 'conv2d_9', 'dense_1', 'dense_2', 'dropout_1', 'dropout_2', 'flatten_1', 'input_1', 'leaky_re_lu_1', 'max_pooling2d_1', 'max_pooling2d_2', 'max_pooling2d_3', 'max_pooling2d_4']\n" ] } ], "source": [ "import h5py\n", "\n", "weight_path = \"weights/MesoInception_DF.h5\"\n", "\n", "with h5py.File(weight_path, 'r') as f:\n", " print(\"Keys in file:\", list(f.keys())) # Check high-level keys\n", " if 'model_weights' in f:\n", " print(\"Layers in weights file:\")\n", " for layer_name in f['model_weights'].keys():\n", " print(layer_name)\n" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "dict_keys(['model', 'optimizer', 'total_steps'])\n", "torch.Size([256, 128, 1, 1])\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/var/folders/gk/dgwp60013hn03btcjj09ffsh0000gn/T/ipykernel_49733/3219645032.py:1: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n", " checkpoint = torch.load(\"weights/global.pth\", map_location=\"cpu\")\n" ] } ], "source": [ "checkpoint = torch.load(\"weights/global.pth\", map_location=\"cpu\")\n", "print(checkpoint.keys())\n", "print(checkpoint[\"model\"][\"base.7.0.downsample.0.weight\"].shape)\n" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "batch_normalization_1 \n", "batch_normalization_2 \n", "batch_normalization_3 \n", "batch_normalization_4 \n", "concatenate_1 \n", "concatenate_2 \n", "conv2d_1 \n", "conv2d_10 \n", "conv2d_11 \n", "conv2d_12 \n", "conv2d_13 \n", "conv2d_14 \n", "conv2d_15 \n", "conv2d_16 \n", "conv2d_2 \n", "conv2d_3 \n", "conv2d_4 \n", "conv2d_5 \n", "conv2d_6 \n", "conv2d_7 \n", "conv2d_8 \n", "conv2d_9 \n", "dense_1 \n", "dense_2 \n", "dropout_1 \n", "dropout_2 \n", "flatten_1 \n", "input_1 \n", "leaky_re_lu_1 \n", "max_pooling2d_1 \n", "max_pooling2d_2 \n", "max_pooling2d_3 \n", "max_pooling2d_4 \n" ] } ], "source": [ "import h5py\n", "\n", "with h5py.File(\"weights/MesoInception_DF.h5\", \"r\") as f:\n", " for layer in f.keys():\n", " print(layer, f[layer].attrs)\n" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", 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True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n", "Read a new frame: True\n" ] }, { "ename": "KeyboardInterrupt", "evalue": "", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[16], line 6\u001b[0m\n\u001b[1;32m 4\u001b[0m count \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m\n\u001b[1;32m 5\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m success:\n\u001b[0;32m----> 6\u001b[0m \u001b[43mcv2\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mimwrite\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mframe\u001b[39;49m\u001b[38;5;132;43;01m%d\u001b[39;49;00m\u001b[38;5;124;43m.jpg\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m%\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mcount\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mimage\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# save frame as JPEG file \u001b[39;00m\n\u001b[1;32m 7\u001b[0m success,image \u001b[38;5;241m=\u001b[39m vidcap\u001b[38;5;241m.\u001b[39mread()\n\u001b[1;32m 8\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mRead a new frame: \u001b[39m\u001b[38;5;124m'\u001b[39m, success)\n", "\u001b[0;31mKeyboardInterrupt\u001b[0m: " ] } ], "source": [ "import cv2\n", "vidcap = cv2.VideoCapture('../../Screen Recording 2024-12-25 at 8.44.26 PM.mp4')\n", "success,image = vidcap.read()\n", "count = 0\n", "while success:\n", "# cv2.imwrite(\"frame%d.jpg\" % count, image) # save frame as JPEG file \n", " success,image = vidcap.read()\n", " print('Read a new frame: ', success)\n", " count += 1" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "deepfake_env", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.0" } }, "nbformat": 4, "nbformat_minor": 2 }