24/6/20 18:27

.gitignore

@@ -0,0 +1,9 @@
+__pycache__
+train
+valid
+data.yaml
+
+runs
+wandb
+YOLOv8
+*.pt

app.ipynb

@@ -0,0 +1,149 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import yaml\n",
+    "import shutil\n",
+    "from pathlib import Path\n",
+    "\n",
+    "import torch\n",
+    "from tqdm import tqdm\n",
+    "from ultralytics import YOLO\n",
+    "from sklearn import model_selection"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "image_files = sorted(os.listdir(\"images\"))\n",
+    "label_files = sorted(os.listdir(\"labels\"))\n",
+    "train_images, valid_images, train_labels, valid_labels = (\n",
+    "    model_selection.train_test_split(image_files, label_files, test_size=0.1)\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def create_folder(\n",
+    "    image_names: list[str],\n",
+    "    label_names: list[str],\n",
+    "    img_src_dir: str,\n",
+    "    label_src_dir: str,\n",
+    "    img_dest_dir: str,\n",
+    "    label_dest_dir: str,\n",
+    "):\n",
+    "    if os.path.exists(img_dest_dir) == True:\n",
+    "        shutil.rmtree(img_dest_dir)\n",
+    "    os.makedirs(img_dest_dir)\n",
+    "\n",
+    "    if os.path.exists(label_dest_dir) == True:\n",
+    "        shutil.rmtree(label_dest_dir)\n",
+    "    os.makedirs(label_dest_dir)\n",
+    "\n",
+    "    for i in tqdm(range(len(image_names))):\n",
+    "        img_path = Path(img_src_dir) / image_names[i]\n",
+    "        img_dest = Path(img_dest_dir) / image_names[i]\n",
+    "        if os.path.exists(img_dest) == False:\n",
+    "            shutil.copy(img_path, img_dest)\n",
+    "\n",
+    "        label_path = Path(label_src_dir) / label_names[i]\n",
+    "        label_dest = Path(label_dest_dir) / label_names[i]\n",
+    "        if os.path.exists(label_dest) == False:\n",
+    "            shutil.copy(label_path, label_dest)\n",
+    "\n",
+    "        assert img_path.stem == label_path.stem"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "  0%|          | 0/690 [00:00<?, ?it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 690/690 [00:00<00:00, 8986.54it/s]\n",
+      "100%|██████████| 77/77 [00:00<00:00, 8794.77it/s]\n"
+     ]
+    }
+   ],
+   "source": [
+    "create_folder(\n",
+    "    image_names=train_images,\n",
+    "    label_names=train_labels,\n",
+    "    img_src_dir=\"images\",\n",
+    "    label_src_dir=\"labels\",\n",
+    "    img_dest_dir=\"train/images\",\n",
+    "    label_dest_dir=\"train/labels\",\n",
+    ")\n",
+    "\n",
+    "create_folder(\n",
+    "    image_names=valid_images,\n",
+    "    label_names=valid_labels,\n",
+    "    img_src_dir=\"images\",\n",
+    "    label_src_dir=\"labels\",\n",
+    "    img_dest_dir=\"valid/images\",\n",
+    "    label_dest_dir=\"valid/labels\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dict_file = {\n",
+    "    \"train\": f\"{Path(\"./train\").resolve()}\",\n",
+    "    \"val\": f\"{Path(\"./valid\").resolve()}\",\n",
+    "    \"nc\": 3,\n",
+    "    \"names\": {0: \"circle\", 1: \"oval\", 2: \"teardrop\"},\n",
+    "}\n",
+    "\n",
+    "with open(\"data.yaml\", \"w\") as f:\n",
+    "    yaml.dump(dict_file, f)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "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": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

labels/classes.txt

@@ -1,4 +0,0 @@
-circle
-oval
-teardrop
-drop