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import cv2
class Detector(object):
def __init__(self, model_arch, model_weights):
self.model_arch = model_arch
self.model_weights = model_weights
def detect(self, image, thresh):
raise NotImplementedError
def crop(self, image, detections):
crops = []
for det in detections:
xmin = max(det[2], 0)
ymin = max(det[3], 0)
width = det[4]
height = det[5]
xmax = min(xmin+width, image.shape[1])
ymax = min(ymin+height, image.shape[0])
cut = image[ymin:ymax, xmin:xmax,:]
crops.append(cut)
return crops
def draw(self, image, detections, im_scale=None):
if im_scale is not None:
image = cv2.resize(image, None, None, fx=im_scale, fy=im_scale, interpolation=cv2.INTER_LINEAR)
detections = [[det[0],det[1],int(det[2]*im_scale),int(det[3]*im_scale),int(det[4]*im_scale),int(det[5]*im_scale)] for det in detections]
for det in detections:
xmin = det[2]
ymin = det[3]
width = det[4]
height = det[5]
xmax = xmin + width
ymax = ymin + height
cv2.rectangle(image, (xmin, ymin), (xmax, ymax), (0, 0, 255), 2)
return image
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