OpenCV

Quickly create matrix of certain color

color_hsv = np.zeros((100, 100, 3), dtype=np.uint8)
color_hsv[:,:,0] = color_H
color_hsv[:,:,1] = color_S
color_hsv[:,:,2] = color_V

Matrix are indexed [row, col], points are indexed [x, y]
Erode / Dilate

morph_kernel = np.ones((5, 5), np.int8) morphed_output = cv2.dilate(input, morph_kernel, iterations = 4) morphed_output = cv2.erode(morphed_output, morph_kernel, iterations = 6)
Bounding box of bunch of points

bounding_box_bgr = np.zeros(processed_hsv.shape, dtype=np.uint8) area = 0.0

if USE_EDGES: edges = cv2.Canny(morphed_bin, CANNY_LOWER, CANNY_UPPER)
```
  edge_points_list = []

  for row in range(edges.shape[0]):
      for col in range(edges.shape[1]):
          # https://stackoverflow.com/questions/25642532/opencv-pointx-y-represent-column-row-or-row-column
          if edges[row, col]:
              x = col
              y = row
              edge_points_list.append((x, y))

  points = np.array(edge_points_list)
```
else: points = cv2.findNonZero(morphed_bin)

if np.any(points): if USE_AXIS_ALIGNED_BOUNDING_BOX: box_x, box_y, box_width, box_height = cv2.boundingRect(points) box_corner_points = np.array([(box_x, box_y), (box_x, box_y + box_height), (box_x + box_width, box_y + box_height), (box_x + box_width, box_y)]) area = cv2.contourArea(box_corner_points) else: rect = cv2.minAreaRect(points) box_corner_points = cv2.boxPoints(rect) box_corner_points = np.int0(box_corner_points) area = cv2.contourArea(box_corner_points)
```
  cv2.fillConvexPoly(bounding_box_bgr, box_corner_points, (255, 255, 255))
```

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