gen-outputs.py

import sys
import cv2
import numpy as np

from glob						import glob
from os.path 					import splitext, basename, isfile
from src.utils 					import crop_region, image_files_from_folder
from src.drawing_utils			import draw_label, draw_losangle, write2img
from src.label 					import lread, Label, readShapes

from pdb import set_trace as pause


YELLOW = (  0,255,255)
RED    = (  0,  0,255)

input_dir = sys.argv[1]
output_dir = sys.argv[2]

img_files = image_files_from_folder(input_dir)

for img_file in img_files:

	bname = splitext(basename(img_file))[0]

	I = cv2.imread(img_file)

	detected_cars_labels = '%s/%s_cars.txt' % (output_dir,bname)

	Lcar = lread(detected_cars_labels)

	sys.stdout.write('%s' % bname)

	for i,lcar in enumerate(Lcar):

		draw_label(I,lcar,color=YELLOW,thickness=3)

		lp_label 		= '%s/%s_%dcar_lp.txt'		% (output_dir,bname,i)
		lp_label_str 	= '%s/%s_%dcar_lp_str.txt'	% (output_dir,bname,i)

		if isfile(lp_label):

			Llp_shapes = readShapes(lp_label)
			pts = Llp_shapes[0].pts*lcar.wh().reshape(2,1) + lcar.tl().reshape(2,1)
			ptspx = pts*np.array(I.shape[1::-1],dtype=float).reshape(2,1)
			draw_losangle(I,ptspx,RED,3)

			lp_str = ''
			with open(lp_label_str,'r') as f:
				lp_str = f.read().strip()

			llp = Label(0,tl=pts.min(1),br=pts.max(1))
			write2img(I,llp,lp_str)

			sys.stdout.write(',%s' % lp_str)

	sys.stdout.write('\n')

	cv2.imwrite('%s/%s_output.png' % (output_dir,bname),I)