qurator-spk/sbb_pixelwise_segmentation
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increasing margin in the case of pixelwise inference

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b-vr103 2024-07-23 11:29:05 +02:00
parent f2692cf8dd
commit c340fbb721
1 changed files with 4 additions and 3 deletions
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7
inference.py
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@ -219,7 +219,7 @@ class sbb_predict:
added_image = cv2.addWeighted(img,0.5,output,0.1,0) added_image = cv2.addWeighted(img,0.5,output,0.1,0)
return added_image return added_image, output
def predict(self): def predict(self):
self.start_new_session_and_model() self.start_new_session_and_model()
@ -444,7 +444,7 @@ class sbb_predict:
if img.shape[1] < self.img_width: if img.shape[1] < self.img_width:
img = cv2.resize(img, (self.img_height, img.shape[0]), interpolation=cv2.INTER_NEAREST) img = cv2.resize(img, (self.img_height, img.shape[0]), interpolation=cv2.INTER_NEAREST)
margin = int(0 * self.img_width) margin = int(0.1 * self.img_width)
width_mid = self.img_width - 2 * margin width_mid = self.img_width - 2 * margin
height_mid = self.img_height - 2 * margin height_mid = self.img_height - 2 * margin
img = img / float(255.0) img = img / float(255.0)
@ -562,9 +562,10 @@ class sbb_predict:
print(self.save) print(self.save)
cv2.imwrite(self.save,res) cv2.imwrite(self.save,res)
else: else:
img_seg_overlayed = self.visualize_model_output(res, self.img_org, self.task) img_seg_overlayed, only_prediction = self.visualize_model_output(res, self.img_org, self.task)
if self.save: if self.save:
cv2.imwrite(self.save,img_seg_overlayed) cv2.imwrite(self.save,img_seg_overlayed)
cv2.imwrite('./layout.png', only_prediction)
if self.ground_truth: if self.ground_truth:
gt_img=cv2.imread(self.ground_truth) gt_img=cv2.imread(self.ground_truth)