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Browse files- .gitignore +1 -0
- copier.ipynb +105 -0
- digit_upscaled.zip +3 -0
- vlcs.zip +3 -0
.gitignore
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push.sh
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copier.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Starting copy with 48 processes...\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"Copying files: 100%|ββββββββββ| 7680/7680 [00:12<00:00, 626.66it/s]\n"
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]
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}
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],
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"source": [
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"import os\n",
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"import shutil\n",
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"from multiprocessing import Pool\n",
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"from pathlib import Path\n",
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"from tqdm import tqdm\n",
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"\n",
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"def copy_file(args):\n",
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" src, dst = args\n",
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" os.makedirs(os.path.dirname(dst), exist_ok=True)\n",
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" shutil.copy2(src, dst)\n",
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" return src\n",
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"\n",
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"def parallel_copy():\n",
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" # Source and destination paths\n",
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" src_dir = \"/l/users/chaimaa.abi/all_code_thesis/finetune-DM/dataset_upscaled/upscaled_VLCS\"\n",
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" dst_dir = \"/l/users/sarim.hashmi/Thesis/ICCV/chimaa_data/upscaled_VLCS\"\n",
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" \n",
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" # Get all files from source directory\n",
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" src_files = []\n",
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" dst_files = []\n",
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" \n",
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" for root, _, files in os.walk(src_dir):\n",
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" for file in files:\n",
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" src_path = os.path.join(root, file)\n",
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" # Create corresponding destination path\n",
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" rel_path = os.path.relpath(src_path, src_dir)\n",
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" dst_path = os.path.join(dst_dir, rel_path)\n",
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" \n",
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" src_files.append(src_path)\n",
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" dst_files.append(dst_path)\n",
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" \n",
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" # Create file pairs for mapping\n",
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" file_pairs = list(zip(src_files, dst_files))\n",
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" \n",
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" # Create destination directory\n",
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" os.makedirs(dst_dir, exist_ok=True)\n",
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" \n",
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" # Use Process Pool for parallel copying\n",
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" num_processes = os.cpu_count() # Use all available CPU cores\n",
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" print(f\"Starting copy with {num_processes} processes...\")\n",
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" \n",
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" with Pool(num_processes) as pool:\n",
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" # Use tqdm to show progress\n",
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" for _ in tqdm(pool.imap_unordered(copy_file, file_pairs), \n",
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" total=len(file_pairs),\n",
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" desc=\"Copying files\"):\n",
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" pass\n",
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"\n",
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"if __name__ == \"__main__\":\n",
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" parallel_copy()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "AI702",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.1"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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digit_upscaled.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:20dcb0f70ce85440a143eb03e932c334781fa12279f5cc3d234d9ac58f4d053c
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size 2572978205
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vlcs.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:242922590bb43ddd5021b9881249356607864f82dffe3b009ff26524f81f3ddb
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size 2793376634
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