advancedskrald/opencv_video.py

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2019-04-04 10:59:37 +00:00
import itertools
from pathlib import Path
from threading import Thread
from time import sleep
import numpy as np
import cv2
import runner
from datetime import datetime
import utils
#cap = cv2.VideoCapture(0)
#cap = cv2.VideoCapture("rtsp://10.192.49.108:8080/h264_ulaw.sdp")
cap = cv2.VideoCapture(0)
piece = "knight"
color = "black"
rank = 8
pieces = {
'knight': [("E", rank), ("H", rank)],
'rook': [("A", rank), ("F", rank)],
'bishop': [("C", rank), ("D", rank)],
'king': [("G", rank)],
'queen': [("B", rank)]
}
while(True):
# Capture frame-by-frame
ret, frame = cap.read()
# Display the resulting frame
cv2.imshow('frame', frame)
if cv2.waitKey(100) & 0xFF == ord('c'):
print(f"capturing frame")
# cv2.imwrite(f"single_frame_{counter}.png", frame)
utils.imwrite(f"whole_boards/boards_for_empty/board_{datetime.utcnow().timestamp()}_.png", frame)
warped = runner.warp_board(frame)
runner.save_empty_fields(warped, skip_rank=rank)
for piece, positions in pieces.items():
for position in positions:
square = runner.get_square(warped, position[0], position[1])
x, y = position
utils.imwrite(f"training_images/{piece}/{runner.compute_color(x, y)}_square/training_{x}{str(y)}_{datetime.utcnow().timestamp()}.png", square)
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()