TypeError only size-1 arrays can be converted to Python scalars

0 votes
This is my code

for key in bboxes:

bbox = np.array(bboxes[key])

new_boxes, new_probs = roi_helpers.non_max_suppression_fast(bbox, np.array(probs[key]), overlap_thresh=0.5)

for jk in range(new_boxes.shape[0]):

(x1, y1, x2, y2) = new_boxes[jk,:]

cv2.rectangle(img_scaled,(x1, y1), (x2, y2), class_to_color[key],1)

textLabel = '{}: {}'.format(key,int(100*new_probs[jk]))

all_dets.append((key,100*new_probs[jk]))

all_objects.append((key, 1))

(retval,baseLine) = cv2.getTextSize(textLabel,cv2.FONT_HERSHEY_COMPLEX,1,1)

textOrg = (x1, y1-0)

cv2.rectangle(img_scaled, (textOrg[0] - 5, textOrg[1]+baseLine - 5), (textOrg[0]+retval[0] + 5, textOrg[1]-retval[1] - 5), (0, 0, 0), 2)

cv2.rectangle(img_scaled, (textOrg[0] - 5,textOrg[1]+baseLine - 5), (textOrg[0]+retval[0] + 5, textOrg[1]-retval[1] - 5), (255, 255, 255), -1)

cv2.putText(img_scaled, textLabel, textOrg, cv2.FONT_HERSHEY_DUPLEX, 1, (0, 0, 0), 1)

print('Elapsed time = {}'.format(time.time() - st))

height, width, channels = img_scaled.shape

cv2.rectangle(img_scaled, (0,0), (width, 30), (0, 0, 0), -1)

cv2.putText(img_scaled, "Obj count: " + str(list(accumulate(all_objects))), (5, 19), cv2.FONT_HERSHEY_TRIPLEX, 0.5, (255, 255, 255), 1)

cv2.imwrite(os.path.join(output_path, img_name), img_scaled)

print(all_dets)

print("saving to video..")

save_to_video()
May 19, 2020 in Python by Rumia
• 120 points

edited May 19, 2020 by Gitika 1,015 views

Hey, @Rumia,

This error occurs as the function called np.int() takes in a single parameter as per its function definition. But if you are passing an array, it will not work and throw the error.

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