diff options
author | UnavailableDev <69792062+UnavailableDev@users.noreply.github.com> | 2023-06-06 12:08:31 +0200 |
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committer | UnavailableDev <69792062+UnavailableDev@users.noreply.github.com> | 2023-06-06 12:08:31 +0200 |
commit | e239429c8885a7c152194a9f25401204258a0fbd (patch) | |
tree | 2a33d0003e705a75c7c6e7884606d61e4796a491 /nicla/signs_detect.py | |
parent | 46acbbb6fd27cc00dadcc9118d774ae674f8eef5 (diff) |
cleanup
Diffstat (limited to 'nicla/signs_detect.py')
-rw-r--r-- | nicla/signs_detect.py | 21 |
1 files changed, 0 insertions, 21 deletions
diff --git a/nicla/signs_detect.py b/nicla/signs_detect.py index c996a88..baf62e8 100644 --- a/nicla/signs_detect.py +++ b/nicla/signs_detect.py @@ -1,12 +1,7 @@ -# Hello World Example -# -# Welcome to the OpenMV IDE! Click on the green run arrow button below to run the script! - import sensor, image, time sensor.reset() # Reset and initialize the sensor. sensor.set_pixformat(sensor.RGB565) # Set pixel format to RGB565 (or GRAYSCALE) -#sensor.set_pixformat(sensor.GRAYSCALE) sensor.set_framesize(sensor.HVGA) # Set frame size to QVGA (320x240) sensor.skip_frames(time = 2000) # Wait for settings take effect. clock = time.clock() # Create a clock object to track the FPS. @@ -15,28 +10,20 @@ clock = time.clock() # Create a clock object to track the FPS. def init_kpts(str): temp_img = image.Image(f"./{str}.jpg", copy_to_fb=True) temp_img.to_grayscale() - kpts = temp_img.find_keypoints(max_keypoints=128, threshold=kpts_threshold, corner_detector=kpts_corner, scale_factor=1.2) return kpts def match_kpts(kpts0, kpts1): if kpts0 is not None and kpts1 is not None: - match = image.match_descriptor(kpts0, kpts1, threshold=70) #print("matched:%d dt:%d"%(match.count(), match.theta())) - if match.count() > 0: print(match.count()) - return match.count() > 1 - else: return 0 def read_red_sign(val, img, kpts): - - #img.draw_keypoints(kpts,255) - if match_kpts(kpts, stop): img.draw_rectangle(val.rect()) #img.draw_cross(match.cx(), match.cy(), size=10) @@ -80,7 +67,6 @@ while(True): img = img.to_grayscale() if(len(blobs_r) > 0 or len(blobs_b) > 0): - kpts_img = img.find_keypoints(max_keypoints=255, threshold=kpts_threshold, corner_detector=kpts_corner) for index, b in enumerate(blobs_r): @@ -88,10 +74,3 @@ while(True): for index, b in enumerate(blobs_b): read_blu_sign(b, img, kpts_img) - - - # Note: OpenMV Cam runs about half as fast when connected - # to the IDE. The FPS should increase once disconnected. - #img = gr - - #print("EOC") |