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config.py
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83 lines (47 loc) · 1.11 KB
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import os
#
# path and dataset parameter
#
DATA_PATH = '/Users/anekisei/Documents/cs231a_project/data/data_tracking_image_2/training/image_02'
LABEL_PATH = '/Users/anekisei/Documents/cs231a_project/data/label_02'
OUTPUT_DIR = os.path.join(DATA_PATH, 'output1')
WEIGHTS_DIR = os.path.join(DATA_PATH, 'weights1')
WEIGHTS_FILE = None
#WEIGHTS_FILE = os.path.join(DATA_PATH, 'weights1', 'YOLO_small.ckpt')
CLASSES = {'Car': '0', 'Truck' : '1', 'Pedestrian' : '2'}
CLASSES_LIST = ['Car', 'Truck', 'Pedestrian']
FLIPPED = True
#
# model parameter
#
ORI_HEIGHT = 1200
ORI_WIDTH = 1920
IMAGE_SIZE1 = 1024
IMAGE_SIZE2 = 1920
#CELL_SIZE = 7
CELL_SIZE1 = 16
CELL_SIZE2 = 30
BOXES_PER_CELL = 1
ALPHA = 0.1
DISP_CONSOLE = True
OBJECT_SCALE = 5.0
NOOBJECT_SCALE = 0.5
CLASS_SCALE = 2.0
COORD_SCALE = 5.0
#
# solver parameter
#
GPU = ''
LEARNING_RATE = 0.0001
DECAY_STEPS = 30000
DECAY_RATE = 0.1
STAIRCASE = True
BATCH_SIZE = 10
MAX_ITER = 140
SUMMARY_ITER = 1
SAVE_ITER = 1
#
# test parameter
#
THRESHOLD = 0.0
IOU_THRESHOLD = 0.0