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Computer vision Object Detection Program to detect and count specific objects (shipping containers) from images and/or videos

Python 91.89% R 8.11%
bounding-boxes chainercv computer-vision deep-learning detection image-processing image-recognition label-images object-detection python r shiny shipping-containers video

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container_detection's Issues

Container ID Detection and Recognition

Hallo Laurent,

first of all, thanks a lot for sharing your work. I find it very useful! I am working on a follow-up task and would like to use your dataset for it. The need is to read the IDs of containers, but very often they are not readable due to small image reolution in your dataset. Do you have any idea where I can get the image with the original resolution? That would be great, because then I could use your dataset for this, too.

Best regards,
NotreadableID0012

André

Dataset

Hi sweetie,may I have your labeled dataset,please.

Annotation video is not smooth(frames are too fast in anno video)

I use the voc0712 pretrained Chainer model and label is voc bbox label names and didn't use any custom model . Unable to attach the avi format file , So, I attached the original and annotation video here [https://github.com/vimal4353/chainer-video-obj-detection] . Please refer the video & let me know why the annotation video comes like this . I try with different fps (25,20,10). But didn't get the smoother video.

dataset

Hi, thanks for this repo! I'd like to experiment myself, would it be possible to get hold of your labelled dataset?

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