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faster hvs calc and sending time stamp correctly

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ori agranat
2019-08-16 20:17:46 +03:00
parent 858aa2bf80
commit bb8457293b
2 changed files with 12 additions and 12 deletions
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9
backend/app/handlers/VisionHandler.py
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@@ -10,17 +10,14 @@ class VisionHandler():
def _hsv_threshold(self, hue: list, saturation: list, value: list, img: numpy.ndarray, is_erode: bool,
is_dilate: bool):
blur = cv2.blur(img, (3, 3))
hsv = cv2.cvtColor(blur, cv2.COLOR_BGR2HSV)
lower = numpy.array([hue[0], saturation[0], value[0]])
upper = numpy.array([hue[1], saturation[1], value[1]])
thresh = cv2.inRange(hsv, lower, upper)
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
thresh = cv2.inRange(hsv, (hue[0], saturation[0], value[0]), (hue[1], saturation[1], value[1]))
erode_img = cv2.erode(thresh, kernel=self.kernel, iterations=is_erode)
dilate_img = cv2.dilate(erode_img, kernel=self.kernel, iterations=is_dilate)
return dilate_img
def find_contours(self, binary_img: numpy.ndarray):
_, contours, _ = cv2.findContours(binary_img, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
_, contours, _ = cv2.findContours(binary_img, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_TC89_L1)
return contours
class Filter_Contours: