System information Have I written custom code (as opposed to using a stock example script provided in TensorFlow): No OS Platform and Distribution (e.g., Linux Ubuntu 16.04): docker image from tensorflow/tensorflow:2.0.0a0-gpu-jupyter Mo...
*** File: "/usr/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 938, in _run np_val = np.asarray(subfeed_val, dtype=subfeed_dtype) *** File: "/usr/local/lib/python2.7/site-packages/numpy/core/numeric.py", line 531, in asarray return array(a, dtype...
array([[-1., 1.]]), 'epsilon': 0.1, 'fit_status_': 0, 'gamma': 'auto', 'intercept_': array([ 60.5]), 'kernel': 'rbf', 'max_iter': -1, 'n_support_': array([ 0, 1073741824], dtype=int32), 'nu': 0.0, 'probA_': array([], dtype=float64), 'probB_': array([...
(2.0, array([ 0.]), array(0.)) Custom codec implementation All of the codecs must inherit from BaseCodec in bin/codec/codecs.py. Custom codec implemented based on BaseCodec is required to define two class methods - encode() and decode() class KDTreeCodec(BaseCodec): @classmethod...
color_image = np.asanyarray(depth_color_frame.get_data()) else: #if self.combo.current() == "Color": # Just Color frame color_frame = frames.get_color_frame() if not color_frame: continue color_image = np.asanyarray(color_frame.get_data()) img = Image.fromarray(color_image) im...
array([[-1., 1.]]), 'epsilon': 0.1, 'fit_status_': 0, 'gamma': 'auto', 'intercept_': array([ 60.5]), 'kernel': 'rbf', 'max_iter': -1, 'n_support_': array([ 0, 1073741824], dtype=int32), 'nu': 0.0, 'probA_': array([], dtype=float64), 'probB_': array([...