lanenet-lane-detection: ValueError: Cannot feed value of shape

Thanks for your share,I want to use your model to train my data,but raise some error: ValueError: Cannot feed value of shape (1, 256, 512, 3) for Tensor 'instance_input_label:0', which has shape '(?, 256, 512)',my works include:

draw different color on black background for instance segmentation(three channel),for example(10,10,10),(20,20,20),(30,30,30)…
draw white line on lane otherwise black(0,0,0),(255,255,255),(I try to use json file to draw line and then use cv2.imwrite to save,when i read the image,inspecte it’s shape,it’s channel is 3 even if the black backgroud is zeros(720,1280),3 channel image data is ok?).
generator data list for example:/xxx/image /xxx/gt_gray/gt_instance in train.txt and val.txt when i try to train from scrach,the code raise the error,if you can you tell me which step is error,i will appreciate for you help,thanks for your share too. @MaybeShewill-CV

About this issue

Original URL
State: closed
Created 6 years ago
Comments: 22 (9 by maintainers)

Most upvoted comments

@MaybeShewill-CV thanks for your kind help i read the imread’s flag:

IMREAD_UNCHANGED	If set, return the loaded image as is (with alpha channel, otherwise it gets cropped).
IMREAD_GRAYSCALE	If set, always convert image to the single channel grayscale image.
IMREAD_COLOR	If set, always convert image to the 3 channel BGR color image.
IMREAD_ANYDEPTH	If set, return 16-bit/32-bit image when the input has the corresponding depth, otherwise convert it to 8-bit.
IMREAD_ANYCOLOR	If set, the image is read in any possible color format.
IMREAD_LOAD_GDAL	If set, use the gdal driver for loading the image.

i can see IMREAD_UNCHANGED is set read as origin bit,but in your code,i can see: train_lanenet.py 108 line: label_img = cv2.imread(gt_label_path, cv2.IMREAD_COLOR) My understand is even if gt_label_path is 1 channel’s grayscale image,but i read is as 3 channel,which step my understand is wrong?

bleedingfight on Jun 8, 2018