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_0carlp.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