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October 8, 2023 08:27
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A small Python script that reads dice rolls out loud. See https://golsteyn.com/projects/dice/ for more info!
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import cv2 | |
import numpy as np | |
from sklearn import cluster | |
params = cv2.SimpleBlobDetector_Params() | |
params.filterByInertia | |
params.minInertiaRatio = 0.6 | |
detector = cv2.SimpleBlobDetector_create(params) | |
def get_blobs(frame): | |
frame_blurred = cv2.medianBlur(frame, 7) | |
frame_gray = cv2.cvtColor(frame_blurred, cv2.COLOR_BGR2GRAY) | |
blobs = detector.detect(frame_gray) | |
return blobs | |
def get_dice_from_blobs(blobs): | |
# Get centroids of all blobs | |
X = [] | |
for b in blobs: | |
pos = b.pt | |
if pos != None: | |
X.append(pos) | |
X = np.asarray(X) | |
if len(X) > 0: | |
# Important to set min_sample to 0, as a dice may only have one dot | |
clustering = cluster.DBSCAN(eps=40, min_samples=0).fit(X) | |
# Find the largest label assigned + 1, that's the number of dice found | |
num_dice = max(clustering.labels_) + 1 | |
dice = [] | |
# Calculate centroid of each dice, the average between all a dice's dots | |
for i in range(num_dice): | |
X_dice = X[clustering.labels_ == i] | |
centroid_dice = np.mean(X_dice, axis=0) | |
dice.append([len(X_dice), *centroid_dice]) | |
return dice | |
else: | |
return [] | |
def overlay_info(frame, dice, blobs): | |
# Overlay blobs | |
for b in blobs: | |
pos = b.pt | |
r = b.size / 2 | |
cv2.circle(frame, (int(pos[0]), int(pos[1])), | |
int(r), (255, 0, 0), 2) | |
# Overlay dice number | |
for d in dice: | |
# Get textsize for text centering | |
textsize = cv2.getTextSize( | |
str(d[0]), cv2.FONT_HERSHEY_PLAIN, 3, 2)[0] | |
cv2.putText(frame, str(d[0]), | |
(int(d[1] - textsize[0] / 2), | |
int(d[2] + textsize[1] / 2)), | |
cv2.FONT_HERSHEY_PLAIN, 3, (0, 255, 0), 2) | |
# Initialize a video feed | |
cap = cv2.VideoCapture(0) | |
while(True): | |
# Grab the latest image from the video feed | |
ret, frame = cap.read() | |
# We'll define these later | |
blobs = get_blobs(frame) | |
dice = get_dice_from_blobs(blobs) | |
out_frame = overlay_info(frame, dice, blobs) | |
cv2.imshow("frame", frame) | |
res = cv2.waitKey(1) | |
# Stop if the user presses "q" | |
if res & 0xFF == ord('q'): | |
break | |
# When everything is done, release the capture | |
cap.release() | |
cv2.destroyAllWindows() |
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