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92 lines
2.6 KiB
Plaintext
92 lines
2.6 KiB
Plaintext
2 years ago
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# acchiappa il dataset WLASL\n",
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"\n",
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"__data source__:\n",
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"\n",
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"https://github.com/dxli94/WLASL"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"__scarica e prepara il dataset__ (comandi bash)"
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]
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},
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{
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"cell_type": "raw",
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"metadata": {},
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"source": [
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"colemano$ git clone https://github.com/dxli94/WLASL.git ASL_train/WLASL\n",
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"\n",
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"# installa youtube-dl\n",
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"colemano$ sudo curl -L https://yt-dl.org/downloads/latest/youtube-dl -o /usr/local/bin/youtube-dl\n",
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"colemano$ sudo chmod a+rx /usr/local/bin/youtube-dl\n",
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"\n",
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"# Download video raw, ci mette un botto tipo 1 giorno\n",
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"colemano$ cd ASL_train/WLASL/start_kit\n",
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"ASL_train/WLASL/start_kit$ python3 video_downloader.py\n",
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"\n",
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"# Estrai i samples dai video\n",
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"ASL_train/WLASL/start_kit$ python3 preprocess.py\n",
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"\n",
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"# un po di url sono stati spostati dalla pubblicazione, quindi lancia pure per richiederli agli autori,\n",
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"# altrimenti sticaz, io l'ho fatto appena rimetto a posto metto tutti i dataset in condivisione.\n",
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"# (di 20000 video circa un 1/3 son sparuti)\n",
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"ASL_train/WLASL/start_kit$ python find_missing.py\n",
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"# volendo si possono richiedere i videii mancanti in missing.txt agli autori"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"__transfer learning e training__ (sempre bash)"
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]
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},
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{
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"cell_type": "raw",
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"metadata": {},
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"source": [
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"ASL_train/WLASL/start_kit$ mv videos ../data/WLASL2000/\n",
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"\n",
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"# per fare transfer-learning automagico scarica weights.zip e archieved.zip, unzippali e mettili in WLASL/code/I3D.\n",
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"# kinetics weights---> https://drive.google.com/uc?id=1JgTRHGBRCHyHRT_rAF0fOjnfiFefXkEd&export=download\n",
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"# archieve---> https://drive.google.com/uc?id=1jALimVOB69ifYkeT0Pe297S1z4U3jC48&export=download\n",
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"# poi,\n",
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"\n",
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"ASL_train/WLASL/start_kit$ cd ../code/I3D/\n",
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"\n",
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"# lancia il training, serve la gpu per adesso (12-01-2022)..\n",
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"ASL_train/WLASL/code/I3D/$ train_i3d.py"
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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",
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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": "3.8.10"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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