def py_load_pickle(path):
depthmap, targets = pickle.load(open(path.numpy(), "rb"))
depthmap = preprocess_depthmap(depthmap)
depthmap = tf.image.resize(depthmap,
(image_target_height, image_target_width))
targets = preprocess_targets(targets, targets_indices)
return depthmap, targets
def py_load_pickle(path, max_value):
depthmap, targets = pickle.load(open(path.numpy(), "rb"))
depthmap = preprocess_depthmap(depthmap)
depthmap = depthmap / max_value
depthmap = tf.image.resize(depthmap, (CONFIG.IMAGE_TARGET_HEIGHT, CONFIG.IMAGE_TARGET_WIDTH))
targets = preprocess_targets(targets, targets_indices)
return depthmap, targets
def py_load_pickle(path):
depthmap, targets = pickle.load(open(path.numpy(), "rb"))
depthmap = preprocess_depthmap(depthmap)
targets = preprocess_targets(targets, targets_indices)
return depthmap, targets
def find_max(path):
depthmap, targets = pickle.load(open(path.numpy(), "rb"))
depthmap = preprocess_depthmap(depthmap)
depthmax = tf.math.reduce_max(depthmap)
return depthmax