sk
95c662018d
increase training crop dtom 769 t o1281 for all models + 7 edges for Karusell dataset_v2_88
62 lines
1.7 KiB
Plaintext
62 lines
1.7 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "120b4212",
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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [],
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"source": [
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"!python -m openpifpaf.predict test\\images\\test.png \\\n",
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"--checkpoint=model/mobilenetv2-GrandPrix_v1_15.pkl.№1.epoch510 --image-output \\\n",
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"--keypoint-threshold-rel=0.01 --cif-th=0.01 --caf-th=0.01 --seed-threshold=0.01 \\\n",
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"--keypoint-threshold=0.01 --tr-minimum-threshold=0.01 --tr-single-pose-threshold=0.01 \\\n",
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"--tr-multi-pose-threshold=0.01 --instance-threshold=0.1 --line-width=2 --json-output"
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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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"id": "984d60d5",
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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [],
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"source": [
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"# !python -m openpifpaf.video --source test\\videos\\test.mp4 \\\n",
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"# --checkpoint=model/mobilenetv2-GrandPrix_v1_15.pkl.№1.epoch510 --video-output --json-output \\\n",
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"# --keypoint-threshold-rel=0.01 --cif-th=0.01 --caf-th=0.01 --seed-threshold=0.01 \\\n",
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"# --keypoint-threshold=0.01 --tr-minimum-threshold=0.01 --tr-single-pose-threshold=0.01 \\\n",
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"# --tr-multi-pose-threshold=0.01 --instance-threshold=0.1 --line-width=4 --video-fps=25 \\\n",
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"# --scale=1 --loader-workers=3"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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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": "3.9.7"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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} |