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Pose-Based View Synthesis for Vehicles: A Perspective Aware Method

Python 99.52% Shell 0.48%

view-synthesis-for-vehicles's Introduction

Pose-based View Synthesis for Vehicles: a Perspective Aware Method

This repo is based on pose-gan [https://github.com/AliaksandrSiarohin/pose-gan], which is an excellent work for person pose transfer.

Requirment

python2.7
Numpy
Scipy
Skimage
Pandas
Tensorflow
Keras
keras-contrib
tqdm

Environments

pip install -r requirements.txt
install keras-contrib by running: pip install git+https://www.github.com/keras-team/keras-contrib.git

Training

In order to train a model:

Download VeRi dataset https://github.com/VehicleReId/VeRidataset. Put it in data folder. Rename this folder to data/VeRi-dataset. Rename image_train and image_test with test and train.
Download view-synthesis-for-vehicles.zip and unzip the contents to the main folder.
Training the full system by running the train.sh: bash train.sh

Testing

bash test.sh

view-synthesis-for-vehicles's People

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kuruparan emmm803 anmol19005 bhaktibatra19115 monkey2003 yuriysv

view-synthesis-for-vehicles's Issues

Error in Keypoint Extraction

Hello,

I am trying to compute coordinates for a different car dataset resized to 256 *256. However, my keypoints are always -1. Could you please suggest a reason for such output.

Thanks

when i train 40 epoch, and test, it is very strange that the generated_images is all black. please help me, thank you very much!

anaconda3/envs/view-synthesis/lib/python2.7/site-packages/skimage/io/_io.py:140: UserWarning: output/VeRi-generated_images-PAGM-perceptual/0712_c004_00043620_1.jpg_0712_c010_00037775_0.jpg.png is a low contrast image

Predicting from generator throws error

When I do the generator.predict(batch) step the following error appears:

tensorflow.python.framework.errors_impl.InvalidArgumentError: input_1:0 is both fed and fetched

I am using Tensorflow 1.14 Keras 3.2.1

I would appreciate any advice with this issue.

Kind Regards.

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