OCR network seems not working

[zoidburg]

hi,
Thanks for sharing your work! I tried to test the project using run.sh, everything was OK except that the OCR network output "No characters found" for each plate image; I tried to adjust the detection threshold but it didn't work. So what seems the problem and how should I solve it?

Following is the output of run.sh. Plate images have been extracted successfully, but characters are not detected. So is there any thing (like image pre-processing) missing before I input images into the OCR net?

Press any key to continue...
layer filters size input output
0 conv 32 3 x 3 / 1 416 x 416 x 3 -> 416 x 416 x 32 0.299 BFLOPs
1 max 2 x 2 / 2 416 x 416 x 32 -> 208 x 208 x 32
2 conv 64 3 x 3 / 1 208 x 208 x 32 -> 208 x 208 x 64 1.595 BFLOPs
3 max 2 x 2 / 2 208 x 208 x 64 -> 104 x 104 x 64
4 conv 128 3 x 3 / 1 104 x 104 x 64 -> 104 x 104 x 128 1.595 BFLOPs
5 conv 64 1 x 1 / 1 104 x 104 x 128 -> 104 x 104 x 64 0.177 BFLOPs
6 conv 128 3 x 3 / 1 104 x 104 x 64 -> 104 x 104 x 128 1.595 BFLOPs
7 max 2 x 2 / 2 104 x 104 x 128 -> 52 x 52 x 128
8 conv 256 3 x 3 / 1 52 x 52 x 128 -> 52 x 52 x 256 1.595 BFLOPs
9 conv 128 1 x 1 / 1 52 x 52 x 256 -> 52 x 52 x 128 0.177 BFLOPs
10 conv 256 3 x 3 / 1 52 x 52 x 128 -> 52 x 52 x 256 1.595 BFLOPs
11 max 2 x 2 / 2 52 x 52 x 256 -> 26 x 26 x 256
12 conv 512 3 x 3 / 1 26 x 26 x 256 -> 26 x 26 x 512 1.595 BFLOPs
13 conv 256 1 x 1 / 1 26 x 26 x 512 -> 26 x 26 x 256 0.177 BFLOPs
14 conv 512 3 x 3 / 1 26 x 26 x 256 -> 26 x 26 x 512 1.595 BFLOPs
15 conv 256 1 x 1 / 1 26 x 26 x 512 -> 26 x 26 x 256 0.177 BFLOPs
16 conv 512 3 x 3 / 1 26 x 26 x 256 -> 26 x 26 x 512 1.595 BFLOPs
17 max 2 x 2 / 2 26 x 26 x 512 -> 13 x 13 x 512
18 conv 1024 3 x 3 / 1 13 x 13 x 512 -> 13 x 13 x1024 1.595 BFLOPs
19 conv 512 1 x 1 / 1 13 x 13 x1024 -> 13 x 13 x 512 0.177 BFLOPs
20 conv 1024 3 x 3 / 1 13 x 13 x 512 -> 13 x 13 x1024 1.595 BFLOPs
21 conv 512 1 x 1 / 1 13 x 13 x1024 -> 13 x 13 x 512 0.177 BFLOPs
22 conv 1024 3 x 3 / 1 13 x 13 x 512 -> 13 x 13 x1024 1.595 BFLOPs
23 conv 1024 3 x 3 / 1 13 x 13 x1024 -> 13 x 13 x1024 3.190 BFLOPs
24 conv 1024 3 x 3 / 1 13 x 13 x1024 -> 13 x 13 x1024 3.190 BFLOPs
25 route 16
26 conv 64 1 x 1 / 1 26 x 26 x 512 -> 26 x 26 x 64 0.044 BFLOPs
27 reorg / 2 26 x 26 x 64 -> 13 x 13 x 256
28 route 27 24
29 conv 1024 3 x 3 / 1 13 x 13 x1280 -> 13 x 13 x1024 3.987 BFLOPs
30 conv 125 1 x 1 / 1 13 x 13 x1024 -> 13 x 13 x 125 0.043 BFLOPs
31 detection
mask_scale: Using default '1.000000'
Loading weights from data/vehicle-detector/yolo-voc.weights...Done!
Searching for vehicles using YOLO...
Scanning samples/03009.jpg
2 cars found
Scanning samples/03016.jpg
1 cars found
Scanning samples/03025.jpg
1 cars found
Scanning samples/03033.jpg
1 cars found
Scanning samples/03057.jpg
1 cars found
Scanning samples/03058.jpg
2 cars found
Scanning samples/03066.jpg
3 cars found
Scanning samples/03071.jpg
1 cars found
Using TensorFlow backend.
2018-09-12 01:32:41.038583: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2018-09-12 01:32:41.175064: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1356] Found device 0 with properties:
name: TITAN X (Pascal) major: 6 minor: 1 memoryClockRate(GHz): 1.607
pciBusID: 0000:06:00.0
totalMemory: 11.90GiB freeMemory: 11.57GiB
2018-09-12 01:32:41.309589: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1356] Found device 1 with properties:
name: TITAN X (Pascal) major: 6 minor: 1 memoryClockRate(GHz): 1.531
pciBusID: 0000:0b:00.0
totalMemory: 11.90GiB freeMemory: 11.22GiB
2018-09-12 01:32:41.310954: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1435] Adding visible gpu devices: 0, 1
2018-09-12 01:32:41.831018: I tensorflow/core/common_runtime/gpu/gpu_device.cc:923] Device interconnect StreamExecutor with strength 1 edge matrix:
2018-09-12 01:32:41.831073: I tensorflow/core/common_runtime/gpu/gpu_device.cc:929] 0 1
2018-09-12 01:32:41.831092: I tensorflow/core/common_runtime/gpu/gpu_device.cc:942] 0: N Y
2018-09-12 01:32:41.831108: I tensorflow/core/common_runtime/gpu/gpu_device.cc:942] 1: Y N
2018-09-12 01:32:41.831697: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1053] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 11199 MB memory) -> physical GPU (device: 0, name: TITAN X (Pascal), pci bus id: 0000:06:00.0, compute capability: 6.1)
2018-09-12 01:32:41.984898: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1053] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:1 with 10866 MB memory) -> physical GPU (device: 1, name: TITAN X (Pascal), pci bus id: 0000:0b:00.0, compute capability: 6.1)
Searching for license plates using WPOD-NET
Processing output/03033_0car.png
Bound dim: 476, ratio: 1.606780
Processing output/03058_1car.png
Bound dim: 372, ratio: 1.288136
Processing output/03009_1car.png
Bound dim: 608, ratio: 3.037433
Processing output/03066_1car.png
Bound dim: 490, ratio: 1.685950
Processing output/03025_0car.png
Bound dim: 568, ratio: 1.958333
Processing output/03066_2car.png
Bound dim: 608, ratio: 2.135135
Processing output/03071_0car.png
Bound dim: 608, ratio: 2.156250
Processing output/03016_0car.png
Bound dim: 606, ratio: 2.052117
Processing output/03009_0car.png
Bound dim: 524, ratio: 1.798773
Processing output/03066_0car.png
Bound dim: 544, ratio: 1.889503
Processing output/03057_0car.png
Bound dim: 526, ratio: 1.804819
Processing output/03058_0car.png
Bound dim: 346, ratio: 1.159664
layer filters size input output
0 conv 32 3 x 3 / 1 240 x 80 x 3 -> 240 x 80 x 32 0.033 BFLOPs
1 max 2 x 2 / 2 240 x 80 x 32 -> 120 x 40 x 32
2 conv 64 3 x 3 / 1 120 x 40 x 32 -> 120 x 40 x 64 0.177 BFLOPs
3 max 2 x 2 / 2 120 x 40 x 64 -> 60 x 20 x 64
4 conv 128 3 x 3 / 1 60 x 20 x 64 -> 60 x 20 x 128 0.177 BFLOPs
5 conv 64 1 x 1 / 1 60 x 20 x 128 -> 60 x 20 x 64 0.020 BFLOPs
6 conv 128 3 x 3 / 1 60 x 20 x 64 -> 60 x 20 x 128 0.177 BFLOPs
7 max 2 x 2 / 2 60 x 20 x 128 -> 30 x 10 x 128
8 conv 256 3 x 3 / 1 30 x 10 x 128 -> 30 x 10 x 256 0.177 BFLOPs
9 conv 128 1 x 1 / 1 30 x 10 x 256 -> 30 x 10 x 128 0.020 BFLOPs
10 conv 256 3 x 3 / 1 30 x 10 x 128 -> 30 x 10 x 256 0.177 BFLOPs
11 conv 512 3 x 3 / 1 30 x 10 x 256 -> 30 x 10 x 512 0.708 BFLOPs
12 conv 256 3 x 3 / 1 30 x 10 x 512 -> 30 x 10 x 256 0.708 BFLOPs
13 conv 512 3 x 3 / 1 30 x 10 x 256 -> 30 x 10 x 512 0.708 BFLOPs
14 conv 80 1 x 1 / 1 30 x 10 x 512 -> 30 x 10 x 80 0.025 BFLOPs
15 detection
mask_scale: Using default '1.000000'
Loading weights from data/ocr/ocr-net.weights...Done!
Performing OCR...
Scanning output/03066_2car_lp.png
No characters found
Scanning output/03009_0car_lp.png
No characters found
Scanning output/03016_0car_lp.png
No characters found
Scanning output/03057_0car_lp.png
No characters found
Scanning output/03025_0car_lp.png
No characters found
Scanning output/03058_1car_lp.png
No characters found
Scanning output/03033_0car_lp.png
No characters found
Scanning output/03071_0car_lp.png
No characters found

[inamesion]

hi，
In the file of /data/ocr/ocr-net.cfg batch = 64 changes to batch = 1

[zoidburg]

@inamesion
Thanks a lot, it worked!

[sergiomsilva]

Thank you @inamesion ! I just updated the file with this correction.

[rochesterlmg]

after set batch = 1, still can not recognize the plate. output is still as below
No characters found