import os
import sys
import time
import numpy as np
import cv2

cap = cv2.VideoCapture(0)
# cap = cv2.VideoCapture("chien.mp4")

kernel_blur = 5
seuil = 15
surface = 1000

ret, originale = cap.read()
originale = cv2.cvtColor(originale, cv2.COLOR_BGR2GRAY)
originale = cv2.GaussianBlur(originale, (kernel_blur, kernel_blur), 0)

kernel_dilate = np.ones((5, 5), np.uint8)

while True:
    ret, frame = cap.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    gray = cv2.GaussianBlur(gray, (kernel_blur, kernel_blur), 0)
    mask = cv2.absdiff(originale, gray)
    mask = cv2.threshold(mask, seuil, 255, cv2.THRESH_BINARY)[1]
    mask = cv2.dilate(mask, kernel_dilate, iterations=3)
    contours, nada = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
    frame_contour = frame.copy()
    for c in contours:
        cv2.drawContours(frame_contour, [c], 0, (0, 255, 0), 5)
        if cv2.contourArea(c) < surface:
            continue
        x, y, w, h = cv2.boundingRect(c)
        cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 0, 255), 2)
    originale = gray
    cv2.putText(frame, "[o|l]seuil: {:d}  [p|m]blur: {:d}  [i|k]surface: {:d}".format(seuil, kernel_blur, surface), (10, 30), cv2.FONT_HERSHEY_COMPLEX_SMALL, 1, (0, 255, 255), 2)
    # cv2.imshow("frame", frame)
    cv2.imshow("contour", frame_contour)
    # cv2.imshow("mask", mask)
    intrus = 0
    key = cv2.waitKey(30) & 0xFF

    if key == ord('q'):
        break
    if key == ord('p'):
        kernel_blur = min(43, kernel_blur + 2)
    if key == ord('m'):
        kernel_blur = max(1, kernel_blur - 2)
    if key == ord('i'):
        surface += 1000
    if key == ord('k'):
        surface = max(1000, surface - 1000)
    if key == ord('o'):
        seuil = min(255, seuil + 1)
    if key == ord('l'):
        seuil = max(1, seuil - 1)

cap.release()
cv2.destroyAllWindows()