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-rw-r--r--nicla/signs_detect.py76
1 files changed, 76 insertions, 0 deletions
diff --git a/nicla/signs_detect.py b/nicla/signs_detect.py
new file mode 100644
index 0000000..baf62e8
--- /dev/null
+++ b/nicla/signs_detect.py
@@ -0,0 +1,76 @@
+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_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.
+
+
+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):
+ if match_kpts(kpts, stop):
+ img.draw_rectangle(val.rect())
+ #img.draw_cross(match.cx(), match.cy(), size=10)
+ print("stop")
+
+ if match_kpts(kpts, speed):
+ img.draw_rectangle(val.rect())
+ print("speed")
+
+ if match_kpts(kpts, car):
+ img.draw_rectangle(val.rect())
+ print("car")
+
+#def read_red_sign(val, img, kpts):
+
+
+kpts_threshold = 20
+kpts_corner = image.CORNER_FAST
+
+speed = init_kpts("speed")
+stop = init_kpts("stop")
+car = init_kpts("image")
+
+
+while(True):
+ clock.tick() # Update the FPS clock.
+ img = sensor.snapshot() # Take a picture and return the image.
+
+ ######## Detect signs
+
+ blobs_r = img.find_blobs([(0, 100, 25, 63, -128, 127)])
+ blobs_b = img.find_blobs([(0, 29, 11, -128, -31, -5)])
+ #print(f"old: { len(blobs_r) + len(blobs_b) }")
+
+ blobs_r[:] = [b for b in blobs_r if (b.convexity() < 0.7 and b.area() > 64)]
+ blobs_b[:] = [b for b in blobs_b if (b.convexity() < 0.7 and b.area() > 64)]
+ #print(f"new: { len(blobs_r) + len(blobs_b) }")
+
+
+ ######## Read signs
+ 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):
+ read_red_sign(b, img, kpts_img)
+
+ for index, b in enumerate(blobs_b):
+ read_blu_sign(b, img, kpts_img)