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Copy pathruntraining_andevaluation.py
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executable file
·65 lines (45 loc) · 1.96 KB
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Nov 17 14:12:43 2018
An example script to automate analysis on 3 different GPUs for different projects. Feel free to adapt this to your needs!
@author: alex
First start container:
python3 runtraining_andevaluation.py 1 (2 or 3)
"""
import subprocess, sys
import numpy as np
import itertools
import os
import deeplabcut
Maxiter=int(1.5*10**5)
model=int(sys.argv[1])
Projects=[['project1-phoenix-2019-01-28'],['ComplexWheelD3-12-Fumi-2019-01-28', 'maze-ariel-2019-01-28'], ['TBI-BvA-2019-01-28','group-eli-2019-01-28']]
shuffle=1
prefix='/home/alex/DLC-workshopRowland'
for project in Projects[model]:
projectpath=os.path.join(prefix,project)
config=os.path.join(projectpath,'config.yaml')
cfg=deeplabcut.auxiliaryfunctions.read_config(config)
previous_path=cfg['project_path']
cfg['project_path']=projectpath
deeplabcut.auxiliaryfunctions.write_config(config,cfg)
print("This is the name of the script: ", sys.argv[0])
print("Shuffle: ", shuffle)
print("config: ", config)
deeplabcut.create_training_dataset(config, Shuffles=[shuffle],windows2linux=True)
deeplabcut.train_network(config, shuffle=shuffle, max_snapshots_to_keep=5, maxiters=Maxiter)
print("Evaluating...")
deeplabcut.evaluate_network(config, Shuffles=[shuffle],plotting=True)
print("Analyzing videos..., switching to last snapshot...")
#cfg=deeplabcut.auxiliaryfunctions.read_config(config)
#cfg['snapshotindex']=-1
#deeplabcut.auxiliaryfunctions.write_config(config,cfg)
for vtype in ['.mp4','.m4v','.mpg']:
try:
deeplabcut.analyze_videos(config,[str(os.path.join(projectpath,'videos'))],shuffle=shuffle,videotype=vtype,save_as_csv=True)
except:
pass
print("DONE WITH ", project," resetting to original path")
cfg['project_path']=previous_path
deeplabcut.auxiliaryfunctions.write_config(config,cfg)