denseUNet_best.py File Reference

Namespaces
namespace	denseUNet_best

Functions
def	denseUNet_best.make_colorwheel ()
	Public Function ##########. More...
def	denseUNet_best.flow_uv_to_colors (u, v, convert_to_bgr=False)
def	denseUNet_best.flow_to_color (flow_uv, clip_flow=None, convert_to_bgr=False)
def	denseUNet_best.trans_SAIs_to_LF (imgSAIs)
def	denseUNet_best.trans_order (imgSAIs)
def	denseUNet_best.shift_value_5x5 (i, shift_val)
def	denseUNet_best.index_picker_5x5 (i)
def	denseUNet_best.image_data_center (batch_size=1, data_path=None, source='train_source')
def	denseUNet_best.image_data (batch_size=1, data_path=None, source='train_source', sai=25)
def	denseUNet_best.input_shifting (center=None, batch_size=1, sai=27, shift_val=0.7)
def	denseUNet_best.slice_warp (shift, flow_h, flow_v, sai)
def	denseUNet_best.slice_warp2 (shift, flow_h, flow_v, sai)
def	denseUNet_best.change_order (imgs, batch_size)
def	denseUNet_best.l_loss (imgs, lables, batch_size)
def	denseUNet_best.denseUNet (input, batch_size)
	Fundamental Network ##########. More...
def	denseUNet_best.denseUNet_train (script_path=None, data_path=None, tot=1, sai=25, shift_val=0.7, batch_size=1)
	Network Generator ##########. More...
def	denseUNet_best.denseUNet_test (script_path=None, data_path=None, tot=1, sai=25, shift_val=0.7, batch_size=1)
def	denseUNet_best.denseUNet_deploy (script_path=None, batch_size=1, sai=25, shift_val=0.7)
def	denseUNet_best.denseUNet_solver (script_train_path=None, script_test_path=None, solver_path=None, snapshot_path=None)
	Solver Generator ##########. More...
def	denseUNet_best.denseUNet_runner (script_path=None, model_path=None, src_color=None, n=None)
	Runner ##########. More...
def	denseUNet_best.denseUNet_tester (script_path=None, model_path=None, dataset_path=None, output_predict_path=None, output_GT_path=None, test_range=1)
	Tester ##########. More...

Variables
	denseUNet_best.threshold
string	denseUNet_best.TRAINSET_PATH = './datas/face_dataset/face_train_9x9'
	Main ##########. More...
string	denseUNet_best.TESTSET_PATH = './datas/face_dataset/face_test_9x9'
string	denseUNet_best.MODEL_PATH = './backup/denseUNet_best.caffemodel'
string	denseUNet_best.TRAIN_PATH = './scripts/denseUNet_train.prototxt'
string	denseUNet_best.TEST_PATH = './scripts/denseUNet_test.prototxt'
string	denseUNet_best.DEPLOY_PATH = './scripts/denseUNet_deploy.prototxt'
string	denseUNet_best.SOLVER_PATH = './scripts/denseUNet_solver.prototxt'
string	denseUNet_best.OUTPUT_PREDICT = './output/predict'
string	denseUNet_best.OUTPUT_GT = './output/GT'
int	denseUNet_best.TRAIN_TOT = 1207
int	denseUNet_best.SAI = 25
float	denseUNet_best.SHIFT_VAL = 0.77625
string	denseUNet_best.MOD = 'test'
	denseUNet_best.script_path
	denseUNet_best.data_path
	denseUNet_best.tot
	denseUNet_best.sai
	denseUNet_best.batch_size
	denseUNet_best.shift_val
	denseUNet_best.script_train_path
	denseUNet_best.script_test_path
	denseUNet_best.solver_path
	denseUNet_best.snapshot_path
	denseUNet_best.solver = caffe.get_solver(SOLVER_PATH)
	denseUNet_best.model_path
	denseUNet_best.dataset_path
	denseUNet_best.output_predict_path
	denseUNet_best.output_GT_path
	denseUNet_best.test_range
	denseUNet_best.test_img = cv2.imread('./test.png', 1)
	denseUNet_best.test_list
	denseUNet_best.flow_color_list
	denseUNet_best.src_color
	denseUNet_best.n