diff --git a/.gitignore b/.gitignore index b1cd7a1..8cf0093 100644 --- a/.gitignore +++ b/.gitignore @@ -67,4 +67,10 @@ venv.bak/ #WandB /notebooks/wandb +/src/wandb +/wandb +# Medical files +*.dcm +*.nii +*.nii.gz diff --git a/Makefile b/Functions/tace_net_input.py similarity index 100% rename from Makefile rename to Functions/tace_net_input.py diff --git a/environment-dev.yml b/environment-dev.yml deleted file mode 100644 index c6d4ddb..0000000 --- a/environment-dev.yml +++ /dev/null @@ -1,14 +0,0 @@ -name: monai -channels: - - pytorch - - defaults - - nvidia - - conda-forge -dependencies: - - numpy>=1.20 - - pytorch>=1.9 - - torchvision>=0.10 - - cudatoolkit=11.3 - - pip - - pip: - - -r requirements-dev.txt diff --git a/models/swin_unetr.pth b/models/swin_unetr.pth deleted file mode 100644 index 65064d5..0000000 Binary files a/models/swin_unetr.pth and /dev/null differ diff --git a/notebooks/IO.ipynb b/notebooks/IO.ipynb new file mode 100644 index 0000000..a4d9468 --- /dev/null +++ b/notebooks/IO.ipynb @@ -0,0 +1,228 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "cuda:0\n" + ] + } + ], + "source": [ + "# Import libraries\n", + "import sys\n", + "\n", + "sys.path.append(\"..\")\n", + "\n", + "from monai.config import print_config\n", + "from src.preprocessing import get_transforms, get_datasets, get_dataloaders\n", + "\n", + "import torch\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Set the device\n", + "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n", + "print(device)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[2 1 3 0 5 4] [6]\n", + "6 1\n" + ] + } + ], + "source": [ + "# Get transforms\n", + "transform = get_transforms(resize_shape= [512, 512, 48],contrast_value=1000)\n", + "\n", + "# Get datasets\n", + "train_ds, val_ds = get_datasets(\n", + " root_dir=\"../data\",\n", + " collection=\"HCC-TACE-Seg\",\n", + " transform=transform,\n", + " download=False,\n", + " val_frac=0.2,\n", + " download_len=2\n", + ")\n", + "\n", + "# Get dataloaders\n", + "train_loader, val_loader = get_dataloaders(train_ds, val_ds, batch_size=1)\n", + "\n", + "# Check length of datasets and dataloaders\n", + "print(train_ds.get_indices(), val_ds.get_indices())\n", + "print(len(train_loader), len(val_loader))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "torch.Size([5, 512, 512, 48])\n", + "torch.Size([1, 1, 512, 512, 48]) torch.Size([1, 1, 512, 512, 48])\n" + ] + } + ], + "source": [ + "# Sample a batch of data from the dataloader\n", + "batch = next(iter(train_loader))\n", + "\n", + "# Separate the image and segmentation from the batch\n", + "image, seg = batch[\"image\"], batch[\"seg\"]\n", + "\n", + "print(image.shape, seg.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "torch.Size([1, 1, 200, 200])\n" + ] + } + ], + "source": [ + "from src.drr import create_drr\n", + "\n", + "# Create DRR\n", + "drr = create_drr(\n", + " image[0],\n", + " seg[0],\n", + " bone_attenuation_multiplier=5.0,\n", + " sdd=1020,\n", + " height=200,\n", + " width=200,\n", + " delx=2.0,\n", + " dely=2.0,\n", + " x0=0,\n", + " y0=0,\n", + " p_subsample=None,\n", + " reshape=True,\n", + " reverse_x_axis=True,\n", + " patch_size=None,\n", + " renderer=\"siddon\",\n", + " rotations=torch.tensor([[0.0, 0.0, 0.0]]),\n", + " rotations_degrees=True,\n", + " translations=torch.tensor([[0.0, 850.0, 0.0]]),\n", + " mask_to_channels=False,\n", + " device=\"cpu\",\n", + ")\n", + "\n", + "print(drr.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot the DRR\n", + "plt.imshow(drr[0, 0], cmap=\"gray\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "Invalid shape (512, 512, 48) for image data", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[6], line 4\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mdiffdrr\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mvisualization\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m plot_drr, plot_mask\n\u001b[0;32m 3\u001b[0m im \u001b[38;5;241m=\u001b[39m image\u001b[38;5;241m.\u001b[39msum(dim\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m, keepdim\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m----> 4\u001b[0m drr_image \u001b[38;5;241m=\u001b[39m \u001b[43mplot_drr\u001b[49m\u001b[43m(\u001b[49m\u001b[43mim\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mticks\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32md:\\programming\\ai\\5arip10-itp-t3g3\\diffdrr\\diffdrr\\visualization.py:39\u001b[0m, in \u001b[0;36mplot_drr\u001b[1;34m(img, title, ticks, axs, cmap, **imshow_kwargs)\u001b[0m\n\u001b[0;32m 37\u001b[0m title \u001b[38;5;241m=\u001b[39m [title] \u001b[38;5;241m*\u001b[39m n_imgs\n\u001b[0;32m 38\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m img, ax, title \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(img, axs, title):\n\u001b[1;32m---> 39\u001b[0m \u001b[43max\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mimshow\u001b[49m\u001b[43m(\u001b[49m\u001b[43mimg\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msqueeze\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcpu\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdetach\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcmap\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcmap\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mimshow_kwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 40\u001b[0m _, height, width \u001b[38;5;241m=\u001b[39m img\u001b[38;5;241m.\u001b[39mshape\n\u001b[0;32m 41\u001b[0m ax\u001b[38;5;241m.\u001b[39mxaxis\u001b[38;5;241m.\u001b[39mtick_top()\n", + "File \u001b[1;32mc:\\Users\\20191678\\AppData\\Local\\anaconda3\\envs\\torch-gpu\\Lib\\site-packages\\matplotlib\\__init__.py:1465\u001b[0m, in \u001b[0;36m_preprocess_data..inner\u001b[1;34m(ax, data, *args, **kwargs)\u001b[0m\n\u001b[0;32m 1462\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mwraps(func)\n\u001b[0;32m 1463\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21minner\u001b[39m(ax, \u001b[38;5;241m*\u001b[39margs, data\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m 1464\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m data \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m-> 1465\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43max\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mmap\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43msanitize_sequence\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1467\u001b[0m bound \u001b[38;5;241m=\u001b[39m new_sig\u001b[38;5;241m.\u001b[39mbind(ax, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m 1468\u001b[0m auto_label \u001b[38;5;241m=\u001b[39m (bound\u001b[38;5;241m.\u001b[39marguments\u001b[38;5;241m.\u001b[39mget(label_namer)\n\u001b[0;32m 1469\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m bound\u001b[38;5;241m.\u001b[39mkwargs\u001b[38;5;241m.\u001b[39mget(label_namer))\n", + "File \u001b[1;32mc:\\Users\\20191678\\AppData\\Local\\anaconda3\\envs\\torch-gpu\\Lib\\site-packages\\matplotlib\\axes\\_axes.py:5759\u001b[0m, in \u001b[0;36mAxes.imshow\u001b[1;34m(self, X, cmap, norm, aspect, interpolation, alpha, vmin, vmax, origin, extent, interpolation_stage, filternorm, filterrad, resample, url, **kwargs)\u001b[0m\n\u001b[0;32m 5756\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m aspect \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m 5757\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mset_aspect(aspect)\n\u001b[1;32m-> 5759\u001b[0m \u001b[43mim\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 5760\u001b[0m im\u001b[38;5;241m.\u001b[39mset_alpha(alpha)\n\u001b[0;32m 5761\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m im\u001b[38;5;241m.\u001b[39mget_clip_path() \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m 5762\u001b[0m \u001b[38;5;66;03m# image does not already have clipping set, clip to axes patch\u001b[39;00m\n", + "File \u001b[1;32mc:\\Users\\20191678\\AppData\\Local\\anaconda3\\envs\\torch-gpu\\Lib\\site-packages\\matplotlib\\image.py:723\u001b[0m, in \u001b[0;36m_ImageBase.set_data\u001b[1;34m(self, A)\u001b[0m\n\u001b[0;32m 721\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(A, PIL\u001b[38;5;241m.\u001b[39mImage\u001b[38;5;241m.\u001b[39mImage):\n\u001b[0;32m 722\u001b[0m A \u001b[38;5;241m=\u001b[39m pil_to_array(A) \u001b[38;5;66;03m# Needed e.g. to apply png palette.\u001b[39;00m\n\u001b[1;32m--> 723\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_A \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_normalize_image_array\u001b[49m\u001b[43m(\u001b[49m\u001b[43mA\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 724\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_imcache \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m 725\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstale \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n", + "File \u001b[1;32mc:\\Users\\20191678\\AppData\\Local\\anaconda3\\envs\\torch-gpu\\Lib\\site-packages\\matplotlib\\image.py:693\u001b[0m, in \u001b[0;36m_ImageBase._normalize_image_array\u001b[1;34m(A)\u001b[0m\n\u001b[0;32m 691\u001b[0m A \u001b[38;5;241m=\u001b[39m A\u001b[38;5;241m.\u001b[39msqueeze(\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m) \u001b[38;5;66;03m# If just (M, N, 1), assume scalar and apply colormap.\u001b[39;00m\n\u001b[0;32m 692\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (A\u001b[38;5;241m.\u001b[39mndim \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m2\u001b[39m \u001b[38;5;129;01mor\u001b[39;00m A\u001b[38;5;241m.\u001b[39mndim \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m3\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m A\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m] \u001b[38;5;129;01min\u001b[39;00m [\u001b[38;5;241m3\u001b[39m, \u001b[38;5;241m4\u001b[39m]):\n\u001b[1;32m--> 693\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mInvalid shape \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mA\u001b[38;5;241m.\u001b[39mshape\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m for image data\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 694\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m A\u001b[38;5;241m.\u001b[39mndim \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m3\u001b[39m:\n\u001b[0;32m 695\u001b[0m \u001b[38;5;66;03m# If the input data has values outside the valid range (after\u001b[39;00m\n\u001b[0;32m 696\u001b[0m \u001b[38;5;66;03m# normalisation), we issue a warning and then clip X to the bounds\u001b[39;00m\n\u001b[0;32m 697\u001b[0m \u001b[38;5;66;03m# - otherwise casting wraps extreme values, hiding outliers and\u001b[39;00m\n\u001b[0;32m 698\u001b[0m \u001b[38;5;66;03m# making reliable interpretation impossible.\u001b[39;00m\n\u001b[0;32m 699\u001b[0m high \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m255\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m np\u001b[38;5;241m.\u001b[39missubdtype(A\u001b[38;5;241m.\u001b[39mdtype, np\u001b[38;5;241m.\u001b[39minteger) \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;241m1\u001b[39m\n", + "\u001b[1;31mTypeError\u001b[0m: Invalid shape (512, 512, 48) for image data" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from diffdrr.visualization import plot_drr, plot_mask\n", + "\n", + "im = image.sum(dim=1, keepdim=True)\n", + "drr_image = plot_drr(im, ticks=False)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "torch-gpu", + "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": "3.11.8" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/auto3dseg.ipynb b/notebooks/auto3dseg.ipynb deleted file mode 100644 index 258decd..0000000 --- a/notebooks/auto3dseg.ipynb +++ /dev/null @@ -1,77 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Import libraries\n", - "from monai.data import DataLoader\n", - "from monai.transforms import (EnsureChannelFirstd,\n", - "Compose, LoadImaged, ResampleToMatchd, MapTransform, SaveImaged, LoadImage)\n", - "\n", - "from monai.apps import TciaDataset\n", - "from monai.apps.auto3dseg import AutoRunner\n", - "from monai.bundle import ConfigParser\n", - "\n", - "from monai.config import print_config\n", - "import json\n", - "\n", - "print_config()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Add a fold key to all the training data\n", - "train_dataset.datalist = [{**item, 'fold': 0} for item in train_dataset.datalist]\n", - "\n", - "# Change \"seg\" to \"label\" in the datalist\n", - "for item in train_dataset.datalist:\n", - " item[\"label\"] = item.pop(\"seg\")\n", - " \n", - "for item in test_dataset.datalist:\n", - " item[\"label\"] = item.pop(\"seg\")\n", - "\n", - "# Concatenate the training and test datalists\n", - "data_list = {\"training\": train_dataset.datalist, \"testing\": test_dataset.datalist}\n", - "\n", - "datalist_file = \"../auto3dseg_datalist.json\"\n", - "with open(datalist_file, \"w\") as f:\n", - " json.dump(data_list, f)\n", - "# Create input configuration .yaml file\n", - "input_config = {\n", - " \"name\": \"HCC-TACE-Seg\",\n", - " \"task\": \"segmentation\", \n", - " \"modality\": \"CT\", \n", - " \"datalist\": \"../auto3dseg_datalist.json\", \n", - " \"dataroot\": \"../data\", \n", - "}\n", - "\n", - "config_yaml = \"../auto3dseg_config.yaml\"\n", - "ConfigParser.export_config_file(input_config, config_yaml)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "runner = AutoRunner(work_dir = \"../data/auto3dseg\",train=False, input=input_config, algos=[\"segresnet\", \"segresnet2d\", \"swinunetr\"])\n", - "runner.run()" - ] - } - ], - "metadata": { - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/notebooks/data.csv b/notebooks/data.csv deleted file mode 100644 index 0b5ec73..0000000 --- a/notebooks/data.csv +++ /dev/null @@ -1,85 +0,0 @@ -image,seg -..\data\HCC-TACE-Seg\HCC_044\300\image,..\data\HCC-TACE-Seg\HCC_044\300\seg -..\data\HCC-TACE-Seg\HCC_070\300\image,..\data\HCC-TACE-Seg\HCC_070\300\seg -..\data\HCC-TACE-Seg\HCC_004\300\image,..\data\HCC-TACE-Seg\HCC_004\300\seg -..\data\HCC-TACE-Seg\HCC_076\300\image,..\data\HCC-TACE-Seg\HCC_076\300\seg -..\data\HCC-TACE-Seg\HCC_084\300\image,..\data\HCC-TACE-Seg\HCC_084\300\seg -..\data\HCC-TACE-Seg\HCC_077\300\image,..\data\HCC-TACE-Seg\HCC_077\300\seg -..\data\HCC-TACE-Seg\HCC_007\300\image,..\data\HCC-TACE-Seg\HCC_007\300\seg -..\data\HCC-TACE-Seg\HCC_088\300\image,..\data\HCC-TACE-Seg\HCC_088\300\seg -..\data\HCC-TACE-Seg\HCC_086\300\image,..\data\HCC-TACE-Seg\HCC_086\300\seg -..\data\HCC-TACE-Seg\HCC_081\300\image,..\data\HCC-TACE-Seg\HCC_081\300\seg -..\data\HCC-TACE-Seg\HCC_065\300\image,..\data\HCC-TACE-Seg\HCC_065\300\seg -..\data\HCC-TACE-Seg\HCC_099\300\image,..\data\HCC-TACE-Seg\HCC_099\300\seg -..\data\HCC-TACE-Seg\HCC_092\300\image,..\data\HCC-TACE-Seg\HCC_092\300\seg -..\data\HCC-TACE-Seg\HCC_073\300\image,..\data\HCC-TACE-Seg\HCC_073\300\seg -..\data\HCC-TACE-Seg\HCC_055\300\image,..\data\HCC-TACE-Seg\HCC_055\300\seg -..\data\HCC-TACE-Seg\HCC_028\300\image,..\data\HCC-TACE-Seg\HCC_028\300\seg -..\data\HCC-TACE-Seg\HCC_019\300\image,..\data\HCC-TACE-Seg\HCC_019\300\seg -..\data\HCC-TACE-Seg\HCC_061\300\image,..\data\HCC-TACE-Seg\HCC_061\300\seg -..\data\HCC-TACE-Seg\HCC_091\300\image,..\data\HCC-TACE-Seg\HCC_091\300\seg -..\data\HCC-TACE-Seg\HCC_062\300\image,..\data\HCC-TACE-Seg\HCC_062\300\seg -..\data\HCC-TACE-Seg\HCC_095\300\image,..\data\HCC-TACE-Seg\HCC_095\300\seg -..\data\HCC-TACE-Seg\HCC_105\300\image,..\data\HCC-TACE-Seg\HCC_105\300\seg -..\data\HCC-TACE-Seg\HCC_002\300\image,..\data\HCC-TACE-Seg\HCC_002\300\seg -..\data\HCC-TACE-Seg\HCC_078\300\image,..\data\HCC-TACE-Seg\HCC_078\300\seg -..\data\HCC-TACE-Seg\HCC_043\300\image,..\data\HCC-TACE-Seg\HCC_043\300\seg -..\data\HCC-TACE-Seg\HCC_042\300\image,..\data\HCC-TACE-Seg\HCC_042\300\seg -..\data\HCC-TACE-Seg\HCC_005\300\image,..\data\HCC-TACE-Seg\HCC_005\300\seg -..\data\HCC-TACE-Seg\HCC_016\300\image,..\data\HCC-TACE-Seg\HCC_016\300\seg -..\data\HCC-TACE-Seg\HCC_018\300\image,..\data\HCC-TACE-Seg\HCC_018\300\seg -..\data\HCC-TACE-Seg\HCC_041\300\image,..\data\HCC-TACE-Seg\HCC_041\300\seg -..\data\HCC-TACE-Seg\HCC_039\300\image,..\data\HCC-TACE-Seg\HCC_039\300\seg -..\data\HCC-TACE-Seg\HCC_006\300\image,..\data\HCC-TACE-Seg\HCC_006\300\seg -..\data\HCC-TACE-Seg\HCC_097\300\image,..\data\HCC-TACE-Seg\HCC_097\300\seg -..\data\HCC-TACE-Seg\HCC_056\300\image,..\data\HCC-TACE-Seg\HCC_056\300\seg -..\data\HCC-TACE-Seg\HCC_001\300\image,..\data\HCC-TACE-Seg\HCC_001\300\seg -..\data\HCC-TACE-Seg\HCC_035\300\image,..\data\HCC-TACE-Seg\HCC_035\300\seg -..\data\HCC-TACE-Seg\HCC_029\300\image,..\data\HCC-TACE-Seg\HCC_029\300\seg -..\data\HCC-TACE-Seg\HCC_057\300\image,..\data\HCC-TACE-Seg\HCC_057\300\seg -..\data\HCC-TACE-Seg\HCC_052\300\image,..\data\HCC-TACE-Seg\HCC_052\300\seg -..\data\HCC-TACE-Seg\HCC_012\300\image,..\data\HCC-TACE-Seg\HCC_012\300\seg -..\data\HCC-TACE-Seg\HCC_036\300\image,..\data\HCC-TACE-Seg\HCC_036\300\seg -..\data\HCC-TACE-Seg\HCC_024\300\image,..\data\HCC-TACE-Seg\HCC_024\300\seg -..\data\HCC-TACE-Seg\HCC_054\300\image,..\data\HCC-TACE-Seg\HCC_054\300\seg -..\data\HCC-TACE-Seg\HCC_011\300\image,..\data\HCC-TACE-Seg\HCC_011\300\seg -..\data\HCC-TACE-Seg\HCC_032\300\image,..\data\HCC-TACE-Seg\HCC_032\300\seg -..\data\HCC-TACE-Seg\HCC_080\300\image,..\data\HCC-TACE-Seg\HCC_080\300\seg -..\data\HCC-TACE-Seg\HCC_059\300\image,..\data\HCC-TACE-Seg\HCC_059\300\seg -..\data\HCC-TACE-Seg\HCC_082\300\image,..\data\HCC-TACE-Seg\HCC_082\300\seg -..\data\HCC-TACE-Seg\HCC_093\300\image,..\data\HCC-TACE-Seg\HCC_093\300\seg -..\data\HCC-TACE-Seg\HCC_033\300\image,..\data\HCC-TACE-Seg\HCC_033\300\seg -..\data\HCC-TACE-Seg\HCC_096\300\image,..\data\HCC-TACE-Seg\HCC_096\300\seg -..\data\HCC-TACE-Seg\HCC_015\300\image,..\data\HCC-TACE-Seg\HCC_015\300\seg -..\data\HCC-TACE-Seg\HCC_075\300\image,..\data\HCC-TACE-Seg\HCC_075\300\seg -..\data\HCC-TACE-Seg\HCC_020\300\image,..\data\HCC-TACE-Seg\HCC_020\300\seg -..\data\HCC-TACE-Seg\HCC_030\300\image,..\data\HCC-TACE-Seg\HCC_030\300\seg -..\data\HCC-TACE-Seg\HCC_051\300\image,..\data\HCC-TACE-Seg\HCC_051\300\seg -..\data\HCC-TACE-Seg\HCC_103\300\image,..\data\HCC-TACE-Seg\HCC_103\300\seg -..\data\HCC-TACE-Seg\HCC_104\300\image,..\data\HCC-TACE-Seg\HCC_104\300\seg -..\data\HCC-TACE-Seg\HCC_071\300\image,..\data\HCC-TACE-Seg\HCC_071\300\seg -..\data\HCC-TACE-Seg\HCC_021\300\image,..\data\HCC-TACE-Seg\HCC_021\300\seg -..\data\HCC-TACE-Seg\HCC_100\300\image,..\data\HCC-TACE-Seg\HCC_100\300\seg -..\data\HCC-TACE-Seg\HCC_074\300\image,..\data\HCC-TACE-Seg\HCC_074\300\seg -..\data\HCC-TACE-Seg\HCC_079\300\image,..\data\HCC-TACE-Seg\HCC_079\300\seg -..\data\HCC-TACE-Seg\HCC_026\300\image,..\data\HCC-TACE-Seg\HCC_026\300\seg -..\data\HCC-TACE-Seg\HCC_038\300\image,..\data\HCC-TACE-Seg\HCC_038\300\seg -..\data\HCC-TACE-Seg\HCC_083\300\image,..\data\HCC-TACE-Seg\HCC_083\300\seg -..\data\HCC-TACE-Seg\HCC_047\300\image,..\data\HCC-TACE-Seg\HCC_047\300\seg -..\data\HCC-TACE-Seg\HCC_040\300\image,..\data\HCC-TACE-Seg\HCC_040\300\seg -..\data\HCC-TACE-Seg\HCC_067\300\image,..\data\HCC-TACE-Seg\HCC_067\300\seg -..\data\HCC-TACE-Seg\HCC_060\300\image,..\data\HCC-TACE-Seg\HCC_060\300\seg -..\data\HCC-TACE-Seg\HCC_013\300\image,..\data\HCC-TACE-Seg\HCC_013\300\seg -..\data\HCC-TACE-Seg\HCC_094\300\image,..\data\HCC-TACE-Seg\HCC_094\300\seg -..\data\HCC-TACE-Seg\HCC_090\300\image,..\data\HCC-TACE-Seg\HCC_090\300\seg -..\data\HCC-TACE-Seg\HCC_072\300\image,..\data\HCC-TACE-Seg\HCC_072\300\seg -..\data\HCC-TACE-Seg\HCC_089\300\image,..\data\HCC-TACE-Seg\HCC_089\300\seg -..\data\HCC-TACE-Seg\HCC_037\300\image,..\data\HCC-TACE-Seg\HCC_037\300\seg -..\data\HCC-TACE-Seg\HCC_022\300\image,..\data\HCC-TACE-Seg\HCC_022\300\seg -..\data\HCC-TACE-Seg\HCC_085\300\image,..\data\HCC-TACE-Seg\HCC_085\300\seg -..\data\HCC-TACE-Seg\HCC_010\300\image,..\data\HCC-TACE-Seg\HCC_010\300\seg -..\data\HCC-TACE-Seg\HCC_102\300\image,..\data\HCC-TACE-Seg\HCC_102\300\seg -..\data\HCC-TACE-Seg\HCC_069\300\image,..\data\HCC-TACE-Seg\HCC_069\300\seg -..\data\HCC-TACE-Seg\HCC_066\300\image,..\data\HCC-TACE-Seg\HCC_066\300\seg -..\data\HCC-TACE-Seg\HCC_049\300\image,..\data\HCC-TACE-Seg\HCC_049\300\seg -..\data\HCC-TACE-Seg\HCC_045\300\image,..\data\HCC-TACE-Seg\HCC_045\300\seg diff --git a/notebooks/debugging.ipynb b/notebooks/debugging.ipynb deleted file mode 100644 index f640903..0000000 --- a/notebooks/debugging.ipynb +++ /dev/null @@ -1,69 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "\n", - "def delete_license_files(root_dir):\n", - " for dirpath, dirnames, filenames in os.walk(root_dir):\n", - " for filename in filenames:\n", - " if filename == \"LICENSE\":\n", - " file_path = os.path.join(dirpath, filename)\n", - " try:\n", - " os.remove(file_path)\n", - " print(f\"Deleted: {file_path}\")\n", - " except Exception as e:\n", - " print(f\"Error deleting {file_path}: {e}\")\n", - "\n", - "# Specify the root folder here\n", - "root_folder = '../data'\n", - "\n", - "delete_license_files(root_folder)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import csv\n", - "\n", - "def datalist_csv(data):\n", - "\n", - " # Specify the field names\n", - " fieldnames = data[0].keys()\n", - "\n", - " # Specify the name of the CSV file\n", - " csv_file = \"data.csv\"\n", - "\n", - " # Write data to CSV file\n", - " with open(csv_file, mode='w', newline='') as file:\n", - " writer = csv.DictWriter(file, fieldnames=fieldnames)\n", - " \n", - " # Write header\n", - " writer.writeheader()\n", - " \n", - " # Write rows\n", - " for row in data:\n", - " writer.writerow(row)\n", - "\n", - " print(\"CSV file created successfully.\")\n", - "\n", - "\n", - "datalist_csv(train_dl)" - ] - } - ], - "metadata": { - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/notebooks/diffdrr.ipynb b/notebooks/diffdrr.ipynb index bc021c3..17650f2 100644 --- a/notebooks/diffdrr.ipynb +++ b/notebooks/diffdrr.ipynb @@ -63,69 +63,33 @@ "name": "stdout", "output_type": "stream", "text": [ - "2024-05-02 18:57:33,570 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.41.1604860085.518229.zip.\n", - "2024-05-02 18:57:33,570 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.41.1604860085.518229.zip, skipped downloading.\n", - "2024-05-02 18:57:33,570 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\raw\\1.2.276.0.7230010.3.1.3.8323329.41.1604860085.518229.\n", - "2024-05-02 18:57:34,056 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.172517341095680731665822868712.zip.\n", - "2024-05-02 18:57:34,057 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.172517341095680731665822868712.zip, skipped downloading.\n", - "2024-05-02 18:57:34,058 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\HCC_017\\300\\image.\n", - "2024-05-02 18:57:34,313 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.2087.1600929091.391108.zip.\n", - "2024-05-02 18:57:34,314 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.2087.1600929091.391108.zip, skipped downloading.\n", - "2024-05-02 18:57:34,315 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\raw\\1.2.276.0.7230010.3.1.3.8323329.2087.1600929091.391108.\n", - "2024-05-02 18:57:34,828 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.231513034103627633230071228105.zip.\n", - "2024-05-02 18:57:34,828 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.231513034103627633230071228105.zip, skipped downloading.\n", - "2024-05-02 18:57:34,844 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\HCC_077\\300\\image.\n", - "2024-05-02 18:57:35,186 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.2159.1600929114.382937.zip.\n", - "2024-05-02 18:57:35,186 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.2159.1600929114.382937.zip, skipped downloading.\n", - "2024-05-02 18:57:35,186 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\raw\\1.2.276.0.7230010.3.1.3.8323329.2159.1600929114.382937.\n", - "2024-05-02 18:57:35,904 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.328381013969207951913699003250.zip.\n", - "2024-05-02 18:57:35,904 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.328381013969207951913699003250.zip, skipped downloading.\n", - "2024-05-02 18:57:35,904 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\HCC_081\\300\\image.\n", - "2024-05-02 18:57:36,256 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.2015.1600929060.445346.zip.\n", - "2024-05-02 18:57:36,256 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.2015.1600929060.445346.zip, skipped downloading.\n", - "2024-05-02 18:57:36,256 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\raw\\1.2.276.0.7230010.3.1.3.8323329.2015.1600929060.445346.\n", - "2024-05-02 18:57:36,951 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.248128077663297154202444477856.zip.\n", - "2024-05-02 18:57:36,952 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.248128077663297154202444477856.zip, skipped downloading.\n", - "2024-05-02 18:57:36,952 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\HCC_073\\300\\image.\n", - "2024-05-02 18:57:37,383 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.1619.1600928909.284416.zip.\n", - "2024-05-02 18:57:37,383 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.1619.1600928909.284416.zip, skipped downloading.\n", - "2024-05-02 18:57:37,383 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\raw\\1.2.276.0.7230010.3.1.3.8323329.1619.1600928909.284416.\n", - "2024-05-02 18:57:37,980 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.168467877926914067122086638555.zip.\n", - "2024-05-02 18:57:37,981 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.168467877926914067122086638555.zip, skipped downloading.\n", - "2024-05-02 18:57:37,982 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\HCC_051\\300\\image.\n", - "2024-05-02 18:57:40,523 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.41.1604860085.518229.zip.\n", - "2024-05-02 18:57:40,523 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.41.1604860085.518229.zip, skipped downloading.\n", - "2024-05-02 18:57:40,523 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\raw\\1.2.276.0.7230010.3.1.3.8323329.41.1604860085.518229.\n", - "2024-05-02 18:57:41,014 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.172517341095680731665822868712.zip.\n", - "2024-05-02 18:57:41,015 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.172517341095680731665822868712.zip, skipped downloading.\n", - "2024-05-02 18:57:41,016 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\HCC_017\\300\\image.\n", - "2024-05-02 18:57:41,299 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.2087.1600929091.391108.zip.\n", - "2024-05-02 18:57:41,300 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.2087.1600929091.391108.zip, skipped downloading.\n", - "2024-05-02 18:57:41,300 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\raw\\1.2.276.0.7230010.3.1.3.8323329.2087.1600929091.391108.\n", - "2024-05-02 18:57:42,036 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.231513034103627633230071228105.zip.\n", - "2024-05-02 18:57:42,036 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.231513034103627633230071228105.zip, skipped downloading.\n", - "2024-05-02 18:57:42,036 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\HCC_077\\300\\image.\n", - "2024-05-02 18:57:42,467 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.2159.1600929114.382937.zip.\n", - "2024-05-02 18:57:42,468 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.2159.1600929114.382937.zip, skipped downloading.\n", - "2024-05-02 18:57:42,468 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\raw\\1.2.276.0.7230010.3.1.3.8323329.2159.1600929114.382937.\n", - "2024-05-02 18:57:43,021 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.328381013969207951913699003250.zip.\n", - "2024-05-02 18:57:43,021 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.328381013969207951913699003250.zip, skipped downloading.\n", - "2024-05-02 18:57:43,021 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\HCC_081\\300\\image.\n", - "2024-05-02 18:57:43,409 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.2015.1600929060.445346.zip.\n", - "2024-05-02 18:57:43,409 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.2015.1600929060.445346.zip, skipped downloading.\n", - "2024-05-02 18:57:43,410 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\raw\\1.2.276.0.7230010.3.1.3.8323329.2015.1600929060.445346.\n", - "2024-05-02 18:57:44,066 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.248128077663297154202444477856.zip.\n", - "2024-05-02 18:57:44,066 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.248128077663297154202444477856.zip, skipped downloading.\n", - "2024-05-02 18:57:44,066 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\HCC_073\\300\\image.\n", - "2024-05-02 18:57:44,567 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.1619.1600928909.284416.zip.\n", - "2024-05-02 18:57:44,568 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.1619.1600928909.284416.zip, skipped downloading.\n", - "2024-05-02 18:57:44,569 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\raw\\1.2.276.0.7230010.3.1.3.8323329.1619.1600928909.284416.\n", - "2024-05-02 18:57:45,104 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.168467877926914067122086638555.zip.\n", - "2024-05-02 18:57:45,104 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.168467877926914067122086638555.zip, skipped downloading.\n", - "2024-05-02 18:57:45,104 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\HCC_051\\300\\image.\n", - "[0 1 3 4] [2]\n", - "4 1\n", - "4 1\n" + "2024-05-14 13:48:28,857 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.41.1604860085.518229.zip.\n", + "2024-05-14 13:48:28,857 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.41.1604860085.518229.zip, skipped downloading.\n", + "2024-05-14 13:48:28,857 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\raw\\1.2.276.0.7230010.3.1.3.8323329.41.1604860085.518229.\n", + "2024-05-14 13:48:29,324 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.172517341095680731665822868712.zip.\n", + "2024-05-14 13:48:29,324 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.172517341095680731665822868712.zip, skipped downloading.\n", + "2024-05-14 13:48:29,324 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\HCC_017\\300\\image.\n", + "2024-05-14 13:48:29,590 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.2087.1600929091.391108.zip.\n", + "2024-05-14 13:48:29,590 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.2087.1600929091.391108.zip, skipped downloading.\n", + "2024-05-14 13:48:29,590 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\raw\\1.2.276.0.7230010.3.1.3.8323329.2087.1600929091.391108.\n", + "2024-05-14 13:48:30,106 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.231513034103627633230071228105.zip.\n", + "2024-05-14 13:48:30,106 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.231513034103627633230071228105.zip, skipped downloading.\n", + "2024-05-14 13:48:30,106 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\HCC_077\\300\\image.\n", + "2024-05-14 13:48:32,390 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.41.1604860085.518229.zip.\n", + "2024-05-14 13:48:32,390 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.41.1604860085.518229.zip, skipped downloading.\n", + "2024-05-14 13:48:32,406 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\raw\\1.2.276.0.7230010.3.1.3.8323329.41.1604860085.518229.\n", + "2024-05-14 13:48:33,222 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.172517341095680731665822868712.zip.\n", + "2024-05-14 13:48:33,222 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.172517341095680731665822868712.zip, skipped downloading.\n", + "2024-05-14 13:48:33,222 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\HCC_017\\300\\image.\n", + "2024-05-14 13:48:33,539 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.2087.1600929091.391108.zip.\n", + "2024-05-14 13:48:33,539 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.2.276.0.7230010.3.1.3.8323329.2087.1600929091.391108.zip, skipped downloading.\n", + "2024-05-14 13:48:33,539 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\raw\\1.2.276.0.7230010.3.1.3.8323329.2087.1600929091.391108.\n", + "2024-05-14 13:48:34,094 - INFO - Expected md5 is None, skip md5 check for file ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.231513034103627633230071228105.zip.\n", + "2024-05-14 13:48:34,094 - INFO - File exists: ..\\data\\HCC-TACE-Seg\\1.3.6.1.4.1.14519.5.2.1.1706.8374.231513034103627633230071228105.zip, skipped downloading.\n", + "2024-05-14 13:48:34,094 - INFO - Writing into directory: ..\\data\\HCC-TACE-Seg\\HCC_077\\300\\image.\n", + "[2 1 3 0 5 4] [6]\n", + "6 1\n", + "6 1\n" ] } ], @@ -138,7 +102,7 @@ " root_dir=\"../data\",\n", " collection=\"HCC-TACE-Seg\",\n", " transform=transform,\n", - " download_len=5,\n", + " download_len=2,\n", " val_frac=0.2,\n", ")\n", "\n", @@ -164,8 +128,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "torch.Size([1, 1, 512, 512, 89]) torch.Size([1, 1, 512, 512, 89])\n", - "torch.float32 torch.int32\n" + "torch.Size([5, 256, 256, 48])\n", + "torch.Size([1, 1, 256, 256, 48]) torch.Size([1, 1, 256, 256, 48])\n", + "torch.float32 torch.float32\n" ] } ], @@ -188,7 +153,7 @@ { "data": { "text/plain": [ - "torch.Size([1, 1, 512, 512, 89])" + "torch.Size([1, 1, 256, 256, 48])" ] }, "execution_count": 4, @@ -236,7 +201,7 @@ " reverse_x_axis=True,\n", " patch_size=None,\n", " renderer=\"siddon\",\n", - " rotations=torch.tensor([[0.0, 0.0, 0.0]]),\n", + " rotations=torch.tensor([[-20.0, 0.0, 0.0]]),\n", ")" ] }, @@ -244,10 +209,27 @@ "cell_type": "code", "execution_count": 7, "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "torch.Size([1, 2, 200, 200])\n" + ] + } + ], + "source": [ + "print(img.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -263,7 +245,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -277,7 +259,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -301,7 +283,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -314,7 +296,7 @@ }, { "data": { - "image/png": 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", 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" ] @@ -346,12 +328,12 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { - "image/png": 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" ] @@ -361,7 +343,7 @@ } ], "source": [ - "labels = [\"Liver\", \"Mass\", \"Portal vein\", \"Abdominal aorta\", \"Background\"]\n", + "labels = [\"Liver\"]\n", "\n", "# Plot the segmentation masks\n", "fig, axs = plt.subplots(\n", @@ -375,19 +357,18 @@ "im = img.sum(dim=1, keepdim=True)\n", "plot_drr(im, axs=axs[0], ticks=False, title=\"DRR\")\n", "plot_drr(\n", - " img[:, 2, :, :].unsqueeze(dim=1), axs=axs[1], ticks=False, title=\"DRR Vessel Only\"\n", + " img[:, 1, :, :].unsqueeze(dim=1), axs=axs[1], ticks=False, title=\"DRR Vessel Only\"\n", ")\n", "plot_drr(im, axs=axs[2], ticks=False, title=\"Vessel Overlay\")\n", "\n", "for idx, label in enumerate(labels):\n", - " if label == \"Portal vein\":\n", - " mask = img[:, idx, :, :].unsqueeze(dim=1)\n", - " vessel_mask = plot_mask(mask, axs=axs[2], alpha=0.5, return_masks=True)" + " mask = img[:, 1, :, :].unsqueeze(dim=1)\n", + " vessel_mask = plot_mask(mask, axs=axs[2], alpha=0.5, return_masks=True)" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -396,9 +377,9 @@ "text": [ "tensor([ 0, 255], dtype=torch.uint8)\n", "torch.Size([1, 1, 200, 200, 4])\n", - "torch.Size([1, 5, 200, 200])\n", - "tensor([0.0000e+00, 5.9141e-06, 5.9159e-06, ..., 2.7095e+01, 2.7420e+01,\n", - " 2.8238e+01], device='cuda:0')\n" + "torch.Size([1, 2, 200, 200])\n", + "tensor([0.0000e+00, 3.9476e-05, 3.9477e-05, ..., 2.8296e+01, 2.8522e+01,\n", + " 2.8649e+01], device='cuda:0')\n" ] } ], @@ -419,21 +400,9 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Performing Labeled Surface Extraction: 100%|██████████[00:01<00:00]\n", - "Finding and Labeling Connected Regions.: 100%|██████████[00:00<00:00]\n", - "Smoothing Mesh using Taubin Smoothing: 100%|██████████[00:03<00:00]\n", - "Filling Holes: 100%|██████████[00:00<00:00]\n", - "Cleaning: 100%|██████████[00:00<00:00]\n" - ] - } - ], + "outputs": [], "source": [ "# Make a mesh from the CT volume\n", "ct = drr_to_mesh(subject, \"surface_nets\", threshold=225, verbose=True)" @@ -441,28 +410,9 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "tensor([[1.5708, 0.5236, 0.0000]], device='cuda:0')\n", - "RigidTransform()\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Initialize the DRR module for generating synthetic X-rays\n", "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n", @@ -484,24 +434,9 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "e6ce2c768cee400098621c658495ac23", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Widget(value='