Spaces:
Runtime error
Runtime error
vikranth1111
commited on
Commit
•
534fa54
1
Parent(s):
ebfc407
Update app.py
Browse files
app.py
CHANGED
@@ -11,9 +11,26 @@ classifier = Classifier("keras_model.h5", "labels.txt")
|
|
11 |
offset = 20
|
12 |
imgSize = 300
|
13 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
14 |
def classify_hand(img):
|
15 |
imgOutput = img.copy()
|
16 |
-
|
|
|
17 |
hands, _ = detector.findHands(img)
|
18 |
|
19 |
if hands:
|
@@ -43,8 +60,10 @@ def classify_hand(img):
|
|
43 |
hGap = math.ceil((imgSize - hCal) / 2)
|
44 |
imgWhite[hGap: hCal + hGap, :] = imgResize
|
45 |
|
|
|
46 |
prediction, index = classifier.getPrediction(imgWhite, draw=False)
|
47 |
|
|
|
48 |
cv2.rectangle(imgOutput, (x - offset, y - offset - 70), (x - offset + 400, y - offset + 60 - 50), (0, 255, 0),
|
49 |
cv2.FILLED)
|
50 |
cv2.putText(imgOutput, labels[index], (x, y - 30), cv2.FONT_HERSHEY_COMPLEX, 2, (0, 0, 0), 2)
|
@@ -52,18 +71,5 @@ def classify_hand(img):
|
|
52 |
|
53 |
return imgOutput
|
54 |
|
55 |
-
|
56 |
-
|
57 |
-
cap = cv2.VideoCapture(0)
|
58 |
-
while True:
|
59 |
-
success, img = cap.read()
|
60 |
-
if not success:
|
61 |
-
print("Error: Could not read frame from the camera.")
|
62 |
-
break
|
63 |
-
processed_img = classify_hand(img)
|
64 |
-
cv2.imshow('Hand Gesture Recognition', processed_img)
|
65 |
-
if cv2.waitKey(1) & 0xFF == ord('q'):
|
66 |
-
break
|
67 |
-
|
68 |
-
# Start capturing frames
|
69 |
-
capture_frames()
|
|
|
11 |
offset = 20
|
12 |
imgSize = 300
|
13 |
|
14 |
+
# Try different camera indices until a valid one is found
|
15 |
+
camera_index = 0
|
16 |
+
cap = None
|
17 |
+
|
18 |
+
while cap is None or not cap.isOpened():
|
19 |
+
cap = cv2.VideoCapture(camera_index)
|
20 |
+
if cap is None or not cap.isOpened():
|
21 |
+
camera_index += 1
|
22 |
+
print(f"Error: Could not open camera with index {camera_index - 1}. Trying index {camera_index}.")
|
23 |
+
|
24 |
+
if cap.isOpened():
|
25 |
+
print(f"Camera opened successfully with index {camera_index}.")
|
26 |
+
else:
|
27 |
+
print("Error: No valid camera index found.")
|
28 |
+
exit()
|
29 |
+
|
30 |
def classify_hand(img):
|
31 |
imgOutput = img.copy()
|
32 |
+
|
33 |
+
# Detect hands
|
34 |
hands, _ = detector.findHands(img)
|
35 |
|
36 |
if hands:
|
|
|
60 |
hGap = math.ceil((imgSize - hCal) / 2)
|
61 |
imgWhite[hGap: hCal + hGap, :] = imgResize
|
62 |
|
63 |
+
# Get hand gesture prediction
|
64 |
prediction, index = classifier.getPrediction(imgWhite, draw=False)
|
65 |
|
66 |
+
# Draw bounding box and label
|
67 |
cv2.rectangle(imgOutput, (x - offset, y - offset - 70), (x - offset + 400, y - offset + 60 - 50), (0, 255, 0),
|
68 |
cv2.FILLED)
|
69 |
cv2.putText(imgOutput, labels[index], (x, y - 30), cv2.FONT_HERSHEY_COMPLEX, 2, (0, 0, 0), 2)
|
|
|
71 |
|
72 |
return imgOutput
|
73 |
|
74 |
+
iface = gr.Interface(fn=classify_hand, inputs='webcam', outputs='image', live=True)
|
75 |
+
iface.launch()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|