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picture_train.py
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picture_train.py
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import cv2
import json
from os.path import join, dirname
from os import environ
from watson_developer_cloud import VisualRecognitionV3
import time
import os
from auth import *
import pyimgur
from img_locs import *
#initialize imgur api
im = pyimgur.Imgur(im_client_id)
vis_rec = VisualRecognitionV3('2016-05-20', api_key=watson_auth)
#make directories for storing videos and frames if not created already
game_num = 0
subject_name = input('Enter the name of the subject: ')
#make folder for session
if not os.path.exists(subject_name):
os.makedirs(subject_name)
cap = cv2.VideoCapture(1)
img_idx = 0
while True:
ret,frame = cap.read()
cv2.imshow('frame',frame)
k = cv2.waitKey(1)&0xFF
if k == ord('q'):
break
elif k == ord('c'):
path = subject_name + '/' + str(time.time()) + '.png'
cv2.imwrite(path, frame)
# uploaded_img = im.upload_image(path, title = str(img_idx) + '.png')
# img_link = uploaded_img.link
# response = vis_rec.classify(images_url=img_link)
# classes = response['images'][0]['classifiers'][0]['classes']
# print(img_link)
# for c in classes:
# print(c)
img_idx += 1
cap.release()
cv2.destroyAllWindows()