alpr-unconstrained

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Can't "make" on Mac OS

5

I get message `clang: fatal error: unsupported option '-fopenmp` after typing command `make` in darknet directory. I have already updated clang but I don't understand how to run it properly...

YaKalmar0

using python2.7:vehicle-detection.py, line 28, vehicle_net = dn.load_net(vehicle_netcfg, vehicle_weights, 0) ctypes.ArgumentError: argument 1: wrong type #

3

liu52020

I want to ask that my least training loss is between 0.8-1.5. Does anyone know how to decrease the loss. Although it has nice performance at most condition.

Chung-Yi

Small typo fix.

kees

gpu is slow

2

the detect take 7sec for 1 image on gpu this is a lot of time. can we make it lower? Maybe there is also option to converted to android app?...

roysG

annotation-tool

11

Hi,I use the annotation-tool in your repo,but it did not work for me ,it always display "NO_LABEL",do you konw how to solve it?Thank you1 @sergiomsilva

G-YY

affinex = tf.stack([tf.maximum(affine_pred[...,0],0.),affine_pred[...,1],affine_pred[...,2]],3) affiney = tf.stack([affine_pred[...,3],tf.maximum(affine_pred[...,4],0.),affine_pred[...,5]],3) affinex and affiney mismatch with the paper 

Chung-Yi

Someone who have good ideas on detecting two layers license plate?

21

Some times, we have to be capable of detecting and recogniting two layers car license plate.This method does a good job on single layer car plate?But when it comes to...

TyroneLi

Inference of all three stages using GPU?

7

When you use with video, we'd like the entire inference (vehicle detection + License Plate detection + OCR) to be as fast as possible, so that we can process as...

PhilipsKoshy

inference time low

3

hi sergiomsilva, thank for your code. But I do not understand why you using yolo but the inference time is slow. just only 5fps?

tienduchoang