daixiaogang

@SeokjuLee ，did you use the np.subtract(a,b)? when I use it ,it got wrong.Because the mean value from mean.npy is (3,512,672),the input image is (3,480,640).

@SeokjuLee ,thanks for your patient explaination! I have try to resize the mean ,but it got wrong. transformer = caffe.io.Transformer({'data': net.blobs['data'].data.shape}) transformer.set_transpose('data', (2,0,1)) Mean = np.load('./mean.npy') Mean = Mean.reshape(3,480,640)#wrong transformer.set_raw_scale('data',...

@SeokjuLee ,I have do IPM and get the output ,can you give me some advice on how to do DBSCAN using the ouput?

@ln-scau ，I am have not do the post proprcessing. I think we can communicate by medium tools,such as webchat.

@chengm15 ,I download the IPM code from this URL:http://blog.csdn.net/yeyang911/article/details/51912322,my QQ is 750930459

@SeokjuLee ,I want train your net by my dataset which have no class information and only the line point. And my image is 1280x1024,can I only change the input size...

@SeokjuLee ,I have got your idea,but the data input to network by convert-drivingdata is (640,480),the ouput is subsample by 8 (80,60).

@SeokjuLee ,when I run train.sh ,it got wrong at 2500 iteration ------------------------------------------------------------------------------------------------------------------------------------ I1220 14:47:21.014974 402 solver.cpp:449] Snapshotting to binary proto file ./snapshots/split_iter_2500.caffemodel F1220 14:47:23.816285 402 io.cpp:67] Check failed: proto.SerializeToOstream(&output) ***...

@SeokjuLee ，I have trained your network with caltech-lane dataset correctly.After about 14 hours ,it iterates 30000,but when I plot the test and train loss log,it looks strange. The training loos...

@SeokjuLee ,I want to transfer my label which likes(x1,y1,x1',y1'),(x2,y2,x2',y2').My picture is 1280x1024 which different from yours 640x480,can you give me some advice on how transfer labels ? Or just change...