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https://github.com/EyeTrackVR/EyeTrackVR.git
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bug fixes
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975cb80dec
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@ -29,8 +29,14 @@ class EyeId(IntEnum):
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if EyeId.RIGHT:
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fname = "IBO_RIGHT.png"
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eye = "RIGHT"
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if EyeId.LEFT:
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fname = "IBO_LEFT.png"
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eye = "LEFT"
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#TODO There is a bug where eyeID is not correct which causes dual eye to fail when frame of
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# one eye is smaller than tracked cord of other eye. seems to be stuck on LEFT
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lct = time.time()
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data = None
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@ -119,7 +125,7 @@ def check_and_load(frameshape, now_data):
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def intense(x, y, frame):
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global lct, data
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e = False
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# 0 in data is used as the initial value.
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# When assigning a value, +1 is added to the value to be assigned.
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data = check_and_load(frame.shape[:2], data)
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@ -138,16 +144,24 @@ def intense(x, y, frame):
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# numpy:np.sum(),ndarray.sum()
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# opencv:cv2.sumElems()
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# I don't know which is faster.
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print(frame.shape[1], frame.shape[0], int_x, int_y)
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print(frame.shape[1], frame.shape[0], int_x, int_y, eye)
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changed = False
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newval_flg = False
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if int_y >= frame.shape[1]:
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data_val = 0
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if int_y >= frame.shape[0]:
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# data_val = 1
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int_y = frame.shape[0] - 1
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e = True
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print('CAUGHT Y OUT OF BOUNDS')
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else:
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if int_x >= frame.shape[1]:
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# data_val = 1
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e = True
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int_x = frame.shape[0] - 1
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print('CAUGHT X OUT OF BOUNDS')
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data_val = data[int_y, int_x]
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#if e == False: #TODO clean this up
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data_val = data[int_y, int_x]
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# max pupil per cord
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