init-GrandPrix+dataset_v1-15kps

Grand_Prix/Inference/predict.ipynb

@@ -0,0 +1,54 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "120b4212",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!python -m openpifpaf.predict test\\images\\test.png \\\n",
+    "--checkpoint=model/mobilenetv2-GrandPrix_v1_15.pkl.№1.epoch510 --image-output \\\n",
+    "--keypoint-threshold-rel=0.01 --cif-th=0.01 --caf-th=0.01 --seed-threshold=0.01 \\\n",
+    "--keypoint-threshold=0.01 --tr-minimum-threshold=0.01 --tr-single-pose-threshold=0.01 \\\n",
+    "--tr-multi-pose-threshold=0.01 --instance-threshold=0.1 --line-width=2 --json-output"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "984d60d5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# !python -m openpifpaf.video --source test\\videos\\test.mp4 \\\n",
+    "# --checkpoint=model/mobilenetv2-GrandPrix_v1_15.pkl.№1.epoch510 --video-output --json-output \\\n",
+    "# --keypoint-threshold-rel=0.01 --cif-th=0.01 --caf-th=0.01 --seed-threshold=0.01 \\\n",
+    "# --keypoint-threshold=0.01 --tr-minimum-threshold=0.01 --tr-single-pose-threshold=0.01 \\\n",
+    "# --tr-multi-pose-threshold=0.01 --instance-threshold=0.1 --line-width=4 --video-fps=25 \\\n",
+    "# --scale=1 --loader-workers=3"
+   ]
+  }
+ ],
+ "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": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}