denseUNet_best Namespace Reference

Functions
def	make_colorwheel ()
	Public Function ##########. More...
def	flow_uv_to_colors (u, v, convert_to_bgr=False)
def	flow_to_color (flow_uv, clip_flow=None, convert_to_bgr=False)
def	trans_SAIs_to_LF (imgSAIs)
def	trans_order (imgSAIs)
def	shift_value_5x5 (i, shift_val)
def	index_picker_5x5 (i)
def	image_data_center (batch_size=1, data_path=None, source='train_source')
def	image_data (batch_size=1, data_path=None, source='train_source', sai=25)
def	input_shifting (center=None, batch_size=1, sai=27, shift_val=0.7)
def	slice_warp (shift, flow_h, flow_v, sai)
def	slice_warp2 (shift, flow_h, flow_v, sai)
def	change_order (imgs, batch_size)
def	l_loss (imgs, lables, batch_size)
def	denseUNet (input, batch_size)
	Fundamental Network ##########. More...
def	denseUNet_train (script_path=None, data_path=None, tot=1, sai=25, shift_val=0.7, batch_size=1)
	Network Generator ##########. More...
def	denseUNet_test (script_path=None, data_path=None, tot=1, sai=25, shift_val=0.7, batch_size=1)
def	denseUNet_deploy (script_path=None, batch_size=1, sai=25, shift_val=0.7)
def	denseUNet_solver (script_train_path=None, script_test_path=None, solver_path=None, snapshot_path=None)
	Solver Generator ##########. More...
def	denseUNet_runner (script_path=None, model_path=None, src_color=None, n=None)
	Runner ##########. More...
def	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
	threshold
string	TRAINSET_PATH = './datas/face_dataset/face_train_9x9'
	Main ##########. More...
string	TESTSET_PATH = './datas/face_dataset/face_test_9x9'
string	MODEL_PATH = './backup/denseUNet_best.caffemodel'
string	TRAIN_PATH = './scripts/denseUNet_train.prototxt'
string	TEST_PATH = './scripts/denseUNet_test.prototxt'
string	DEPLOY_PATH = './scripts/denseUNet_deploy.prototxt'
string	SOLVER_PATH = './scripts/denseUNet_solver.prototxt'
string	OUTPUT_PREDICT = './output/predict'
string	OUTPUT_GT = './output/GT'
int	TRAIN_TOT = 1207
int	SAI = 25
float	SHIFT_VAL = 0.77625
string	MOD = 'test'
	script_path
	data_path
	tot
	sai
	batch_size
	shift_val
	script_train_path
	script_test_path
	solver_path
	snapshot_path
	solver = caffe.get_solver(SOLVER_PATH)
	model_path
	dataset_path
	output_predict_path
	output_GT_path
	test_range
	test_img = cv2.imread('./test.png', 1)
	test_list
	flow_color_list
	src_color
	n

Function Documentation

change_order()

def denseUNet_best.change_order	(		imgs,
			batch_size
	)

denseUNet()

def denseUNet_best.denseUNet	(		input,
			batch_size
	)

Fundamental Network ##########.

denseUNet_deploy()

def denseUNet_best.denseUNet_deploy	(		script_path = None,
			batch_size = 1,
			sai = 25,
			shift_val = 0.7
	)

denseUNet_runner()

def denseUNet_best.denseUNet_runner	(		script_path = None,
			model_path = None,
			src_color = None,
			n = None
	)

Runner ##########.

denseUNet_solver()

def denseUNet_best.denseUNet_solver	(		script_train_path = None,
			script_test_path = None,
			solver_path = None,
			snapshot_path = None
	)

Solver Generator ##########.

denseUNet_test()

def denseUNet_best.denseUNet_test	(		script_path = None,
			data_path = None,
			tot = 1,
			sai = 25,
			shift_val = 0.7,
			batch_size = 1
	)

denseUNet_tester()

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 ##########.

denseUNet_train()

def denseUNet_best.denseUNet_train	(		script_path = None,
			data_path = None,
			tot = 1,
			sai = 25,
			shift_val = 0.7,
			batch_size = 1
	)

Network Generator ##########.

flow_to_color()

def denseUNet_best.flow_to_color	(		flow_uv,
			clip_flow = None,
			convert_to_bgr = False
	)

flow_uv_to_colors()

def denseUNet_best.flow_uv_to_colors	(		u,
			v,
			convert_to_bgr = False
	)

image_data()

def denseUNet_best.image_data	(		batch_size = 1,
			data_path = None,
			source = 'train_source',
			sai = 25
	)

image_data_center()

def denseUNet_best.image_data_center	(		batch_size = 1,
			data_path = None,
			source = 'train_source'
	)

index_picker_5x5()

def denseUNet_best.index_picker_5x5

(

i

)

input_shifting()

def denseUNet_best.input_shifting	(		center = None,
			batch_size = 1,
			sai = 27,
			shift_val = 0.7
	)

l_loss()

def denseUNet_best.l_loss	(		imgs,
			lables,
			batch_size
	)

make_colorwheel()

def denseUNet_best.make_colorwheel

(

)

Public Function ##########.

shift_value_5x5()

def denseUNet_best.shift_value_5x5	(		i,
			shift_val
	)

slice_warp()

def denseUNet_best.slice_warp	(		shift,
			flow_h,
			flow_v,
			sai
	)

slice_warp2()

def denseUNet_best.slice_warp2	(		shift,
			flow_h,
			flow_v,
			sai
	)

trans_order()

def denseUNet_best.trans_order

(

imgSAIs

)

trans_SAIs_to_LF()

def denseUNet_best.trans_SAIs_to_LF

(

imgSAIs

)

Variable Documentation

batch_size

denseUNet_best.batch_size

data_path

denseUNet_best.data_path

dataset_path

denseUNet_best.dataset_path

DEPLOY_PATH

denseUNet_best.DEPLOY_PATH = './scripts/denseUNet_deploy.prototxt'

flow_color_list

denseUNet_best.flow_color_list

MOD

string denseUNet_best.MOD = 'test'

MODEL_PATH

denseUNet_best.MODEL_PATH = './backup/denseUNet_best.caffemodel'

model_path

denseUNet_best.model_path

n

denseUNet_best.n

OUTPUT_GT

string denseUNet_best.OUTPUT_GT = './output/GT'

output_GT_path

denseUNet_best.output_GT_path

OUTPUT_PREDICT

string denseUNet_best.OUTPUT_PREDICT = './output/predict'

output_predict_path

denseUNet_best.output_predict_path

SAI

denseUNet_best.SAI = 25

sai

denseUNet_best.sai

script_path

denseUNet_best.script_path

script_test_path

denseUNet_best.script_test_path

script_train_path

denseUNet_best.script_train_path

SHIFT_VAL

float denseUNet_best.SHIFT_VAL = 0.77625

shift_val

denseUNet_best.shift_val

snapshot_path

denseUNet_best.snapshot_path

solver

denseUNet_best.solver = caffe.get_solver(SOLVER_PATH)

SOLVER_PATH

denseUNet_best.SOLVER_PATH = './scripts/denseUNet_solver.prototxt'

solver_path

denseUNet_best.solver_path

src_color

denseUNet_best.src_color

test_img

denseUNet_best.test_img = cv2.imread('./test.png', 1)

test_list

denseUNet_best.test_list

TEST_PATH

denseUNet_best.TEST_PATH = './scripts/denseUNet_test.prototxt'

test_range

denseUNet_best.test_range

TESTSET_PATH

denseUNet_best.TESTSET_PATH = './datas/face_dataset/face_test_9x9'

threshold

denseUNet_best.threshold

tot

denseUNet_best.tot

TRAIN_PATH

denseUNet_best.TRAIN_PATH = './scripts/denseUNet_train.prototxt'

TRAIN_TOT

denseUNet_best.TRAIN_TOT = 1207

TRAINSET_PATH

denseUNet_best.TRAINSET_PATH = './datas/face_dataset/face_train_9x9'

Main ##########.