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-rw-r--r--nicla/garbage_filter.py40
-rw-r--r--nicla/signs_detect.py42
2 files changed, 60 insertions, 22 deletions
diff --git a/nicla/garbage_filter.py b/nicla/garbage_filter.py
new file mode 100644
index 0000000..3afd2c3
--- /dev/null
+++ b/nicla/garbage_filter.py
@@ -0,0 +1,40 @@
+traffic_light_garbage = list()
+
+"""
+filter garbage
+
+arguments:
+arr -- garbage filter memory list
+val -- input value
+sensitivity -- minimum amount of `val` in `arr` to return `val`
+limit -- max length of `arr`
+
+return value:
+if `arr` contains `sensitivity` or more of any item, that item will be
+returned, else None is returned
+"""
+def garbage_filter(arr, val, sensitivity, limit):
+ if val == None: return None
+ arr[:] = [None]*(limit - len(arr)) + arr
+ arr.pop(0)
+ arr.append(val)
+ if len([x for x in arr if x == val]) >= sensitivity:
+ return val
+ return None
+
+if __name__ == "__main__":
+ inputs = [
+ "red",
+ None,
+ "green",
+ "green",
+ None,
+ "red",
+ "green",
+ "red",
+ "red",
+ None,
+ None
+ ]
+ for x in inputs:
+ print(garbage_filter(traffic_light_garbage, x, 3, 4))
diff --git a/nicla/signs_detect.py b/nicla/signs_detect.py
index 17d47c3..70bc633 100644
--- a/nicla/signs_detect.py
+++ b/nicla/signs_detect.py
@@ -1,10 +1,14 @@
-import sensor, image
+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.
-kpts_threshold = 20
-kpts_corner = image.CORNER_FAST
def init_kpts(str):
- temp_img = image.Image(f"./{str}.jpg",copy_to_fb=True)
+ 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
@@ -18,8 +22,8 @@ def match_kpts(kpts0, kpts1):
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() > 0
+ print(match.count())
+ return match.count() > 0
else:
return 0
@@ -29,23 +33,21 @@ def read_red_sign(val, img, kpts):
#img.draw_rectangle(val.rect())
#img.draw_cross(match.cx(), match.cy(), size=10)
#print("stop")
- data = 0x01
- elif match_kpts(kpts, speed):
- #img.draw_rectangle(val.rect())
+ return 0x01
+ if match_kpts(kpts, speed):
+ img.draw_rectangle(val.rect())
#print("speed")
- data = 0x02
- elif match_kpts(kpts, car):
- #img.draw_rectangle(val.rect())
+ return 0x02
+ if match_kpts(kpts, car):
+ img.draw_rectangle(val.rect())
#print("car")
- data = 0x03
+ return 0x03
- return data
-
-def read_blu_sign(val, img, kpts):
- return 0x02
+#def read_red_sign(val, img, kpts):
def sign_detection(img):
######## 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) }")
@@ -57,17 +59,13 @@ def sign_detection(img):
######## Read signs
img = img.to_grayscale()
- sign_buffer = 0x00
+
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):
sign_buffer = read_red_sign(b, img, kpts_img)
- if sign_buffer != 0x00:
- break
#for index, b in enumerate(blobs_b):
#sign_buffer = read_blu_sign(b, img, kpts_img)
- #if sign_buffer != 0x00:
- #break
return sign_buffer