-
Notifications
You must be signed in to change notification settings - Fork 13
Update to yolo #232
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Closed
Closed
Update to yolo #232
Changes from all commits
Commits
Show all changes
6 commits
Select commit
Hold shift + click to select a range
File filter
Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
178 changes: 178 additions & 0 deletions
178
example-get-started-experiments/code/TrainSegModel.ipynb
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,178 @@ | ||
| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "import shutil\n", | ||
| "from pathlib import Path\n", | ||
| "\n", | ||
| "import cv2\n", | ||
| "from ultralytics import YOLO\n", | ||
| "\n", | ||
| "DATA = Path(\"datasets\")" | ||
| ] | ||
| }, | ||
| { | ||
| "attachments": {}, | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "### Load data and split it into train/test\n", | ||
| "\n", | ||
| "We have some [data in DVC](https://dvc.org/doc/start/data-management/data-versioning) that we can pull. \n", | ||
| "\n", | ||
| "This data includes:\n", | ||
| "* satellite images\n", | ||
| "* masks of the swimming pools in each satellite image\n", | ||
| "\n", | ||
| "DVC can help connect your data to your repo, but it isn't necessary to have your data in DVC to start tracking experiments with DVC and DVCLive." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "!dvc pull" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "### Convert to YOLO Dataset format\n", | ||
| "\n", | ||
| "https://docs.ultralytics.com/datasets/segment/" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "def mask_to_yolo_annotation(mask):\n", | ||
| " contours, _ = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n", | ||
| " annotation = \"\"\n", | ||
| " for contour in contours:\n", | ||
| " single_annotation = \"0\"\n", | ||
| " for row, col in contour.squeeze():\n", | ||
| " single_annotation += f\" {round(col / mask.shape[1], 3)} {round(row / mask.shape[0], 3)}\"\n", | ||
| " annotation += f\"{single_annotation}\\n\"\n", | ||
| " return annotation" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "test_regions = [\"REGION_1-\"]\n", | ||
| "\n", | ||
| "train_data_dir = DATA / \"yolo_dataset\" / \"train\"\n", | ||
| "train_data_dir.mkdir(exist_ok=True, parents=True)\n", | ||
| "test_data_dir = DATA / \"yolo_dataset\" / \"val\"\n", | ||
| "test_data_dir.mkdir(exist_ok=True, parents=True)\n", | ||
| "\n", | ||
| "for img_path in DATA.glob(\"pool_data/images/*.jpg\"):\n", | ||
| " yolo_annotation = mask_to_yolo_annotation(\n", | ||
| " cv2.imread(\n", | ||
| " str(DATA / \"pool_data\" / \"masks\" / f\"{img_path.stem}.png\"),\n", | ||
| " cv2.IMREAD_GRAYSCALE\n", | ||
| " )\n", | ||
| " )\n", | ||
| "\n", | ||
| " if any(region in str(img_path) for region in test_regions):\n", | ||
| " dst = test_data_dir / img_path.name\n", | ||
| " else:\n", | ||
| " dst = train_data_dir / img_path.name\n", | ||
| "\n", | ||
| " shutil.copy(img_path, dst)\n", | ||
| " dst.with_suffix(\".txt\").write_text(yolo_annotation)" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "yolo_dataset_yaml = DATA / \"yolo_dataset.yaml\"\n", | ||
| "yolo_dataset_yaml.write_text(\n", | ||
| " \"\"\"\n", | ||
| "path: ./yolo_dataset\n", | ||
| "train: train\n", | ||
| "val: val\n", | ||
| "\n", | ||
| "names:\n", | ||
| " 0: pool\n", | ||
| " \"\"\"\n", | ||
| ")" | ||
| ] | ||
| }, | ||
| { | ||
| "attachments": {}, | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "### Train model\n", | ||
| "Set up model training, using DVCLive to capture the results of each experiment." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "imgsz = 512\n", | ||
| "epochs = 20\n", | ||
| "model = \"yolov8n-seg.pt\"" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": { | ||
| "scrolled": false | ||
| }, | ||
| "outputs": [], | ||
| "source": [ | ||
| "yolo = YOLO(model)\n", | ||
| "\n", | ||
| "yolo.train(data=yolo_dataset_yaml, epochs=epochs, imgsz=imgsz)" | ||
| ] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "Python 3 (ipykernel)", | ||
| "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": "3.10.6" | ||
| }, | ||
| "vscode": { | ||
| "interpreter": { | ||
| "hash": "949777d72b0d2535278d3dc13498b2535136f6dfe0678499012e853ee9abcab1" | ||
| } | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 4 | ||
| } |
This file was deleted.
Oops, something went wrong.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,2 @@ | ||
| /pool_data | ||
| /yolo_dataset |
File renamed without changes.
Oops, something went wrong.
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Removing this section for now.
Will properly close #230 on a subsequent P.R. adding the sagemaker code