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jblitzar
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github-python

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@app.route('/classify', methods=['POST'])
def classify():
try:
output_bytes = subprocess.check_output(['python', 'main.py'], stderr=subprocess.STDOUT)
output_str = output_bytes.decode('utf-8').strip()
class_name, image_path = output_str.split(",")
class_index = int(class_name)
cache.set('class_index', class_index)
cache.set('image_path', image_path)
return redirect(url_for('output', class_index=class_index))
except subprocess.CalledProcessError as e:
error_message = f"Error executing main.py: {e}"
return render_template('error.html', error_message=error_message)
@app.route('/output/<int:class_index>')
def output(class_index):
rendered_template = render_template('output.html', output=class_index)
return rendered_template
@app.route('/run_trans_app')
def run_trans_app():
class_index = cache.get('class_index')
image_path = cache.get('image_path')
class_index = int(class_index)
if class_index is not None and image_path is not None:
further_output = further_classifier(r"{}".format(image_path), class_index)
further_output_cleaned = further_output.strip()
return redirect(url_for('further_output_page', further_output=further_output_cleaned))
else:
return render_template('error.html', error_message="Cache is empty")
@app.route('/run_cap_app')
def run_cap_app():
class_index = cache.get('class_index')
image_path = cache.get('image_path')
class_index = int(class_index)
if class_index is not None and image_path is not None:
further_output = further_classifier(r"{}".format(image_path), class_index)
further_output_cleaned = further_output.strip()
return redirect(url_for('further_output_page', further_output=further_output_cleaned))
else:
return render_template('error.html', error_message="Cache is empty")
@app.route('/further_classf/<further_output>')
def further_output_page(further_output):
rendered_template = render_template('further.html', output=further_output)
return rendered_template
from flask import redirect, url_for
@app.route('/f_output', methods=['GET'])
def f_output():
component = request.args.get('component')
if component == 'cap':
return redirect(url_for('run_cap_app'))
elif component == 'trans':
return redirect(url_for('run_trans_app'))
else:
further_output = "Unknown component"
return render_template('further.html', output=further_output)
@app.route('/error')
def error():
error_message = "An error occurred. Please try again later."
return render_template('error.html', error_message=error_message)
if __name__ == '__main__':
app.run(host='localhost', debug=True, use_reloader=False)
# <FILESEP>
import argparse
import os
import sys
import gym
import torch
import torch.optim as optim
import torch.multiprocessing as mp
import torch.nn as nn
import torch.nn.functional as F
from model import Model, Shared_grad_buffers, Shared_obs_stats
from train import train
from test import test
from chief import chief
from utils import TrafficLight, Counter
class Params():
def __init__(self):
self.batch_size = 1000
self.lr = 3e-4
self.gamma = 0.99