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Adding notebooks to resolve issues #254 and #259 #264

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ea5f385
added DeiT classifier training pipeline
Feb 27, 2024
f9f1705
added ../notebooks/train-DeiT-image-classifier-on-custom-data.ipynb n…
Feb 27, 2024
684a2b3
add notebook to demo DCGAN training and testing
ShreyasJoshi7 Feb 28, 2024
da83623
added link to https://blog.roboflow.com/how-to-count-objects-in-a-zon…
SkalskiP Feb 28, 2024
43c195f
update YOLOv9 notebook with deployment instructions
SkalskiP Feb 29, 2024
5c67aaf
update YOLOv9 notebook with better dataset version handling
SkalskiP Feb 29, 2024
32ec999
update YOLOv9 notebook
SkalskiP Mar 1, 2024
615ba1a
add YOLOv9 YouTube video link
SkalskiP Mar 5, 2024
c7fc210
Merge branch 'roboflow:main' into main
ShreyasJoshi7 Mar 21, 2024
a8b5867
edited DeiT notebook
ShreyasJoshi7 Mar 21, 2024
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update YOLOv9 notebook with better dataset version handling
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@SkalskiP @ShreyasJoshi7
SkalskiP authored and ShreyasJoshi7 committed Mar 21, 2024
commit 5c67aaf12b058d71a3c5e405ac787080020ea1db
30 changes: 23 additions & 7 deletions notebooks/train-yolov9-object-detection-on-custom-dataset.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -445,9 +445,27 @@
{
"cell_type": "markdown",
"source": [
"**NOTE:** The dataset must be saved inside the `{HOME}/yolov9` directory, otherwise, the training will not succeed.\n",
"\n",
"In this tutorial, I will use the [football-players-detection](https://universe.roboflow.com/roboflow-jvuqo/football-players-detection-3zvbc) dataset. Feel free to replace it with your dataset in YOLO format or use another dataset available on [Roboflow Universe](https://universe.roboflow.com)."
"**NOTE:** The dataset must be saved inside the `{HOME}/yolov9` directory, otherwise, the training will not succeed."
],
"metadata": {
"id": "J5yx2GkI2P7Q"
}
},
{
"cell_type": "code",
"source": [
"%cd {HOME}/yolov9"
],
"metadata": {
"id": "MyLpftfU2Q1U"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"**NOTE:** In this tutorial, I will use the [football-players-detection](https://universe.roboflow.com/roboflow-jvuqo/football-players-detection-3zvbc) dataset. Feel free to replace it with your dataset in YOLO format or use another dataset available on [Roboflow Universe](https://universe.roboflow.com). Additionally, if you plan to deploy your model to Roboflow after training, make sure you are the owner of the dataset and that no model is associated with the version of the dataset you are going to training on."
],
"metadata": {
"id": "eosmGt89vMO1"
Expand All @@ -456,16 +474,15 @@
{
"cell_type": "code",
"source": [
"%cd {HOME}/yolov9\n",
"\n",
"import roboflow\n",
"\n",
"roboflow.login()\n",
"\n",
"rf = roboflow.Roboflow()\n",
"\n",
"project = rf.workspace(\"roboflow-jvuqo\").project(\"football-players-detection-3zvbc\")\n",
"dataset = project.version(6).download(\"yolov9\")"
"version = project.version(6)\n",
"dataset = version.download(\"yolov9\")"
],
"metadata": {
"id": "4J3s_2_7p_gn"
Expand Down Expand Up @@ -845,7 +862,6 @@
{
"cell_type": "code",
"source": [
"version = project.version(6)\n",
"version.deploy(model_type=\"yolov9\", model_path=f\"{HOME}/yolov9/runs/train/exp\")"
],
"metadata": {
Expand Down