-
We now have a couple of simple ODE benchmarks, but could definitely afford to add a lot more.
-
Make plate detection model.
Features:
- Detect from frame/video stream.
- Make it object oriented.
- Inputs : frame.
- Outputs: plate number/ID.
- Methods:
- 1. get_id : string
- 2. get_ssid : strin…
-
Hi,
Does any cmake file exist that I can use to build this project in IDEs like Clion?
-
in the case of image classification,
we have a training set, with x inputs, and the loss is computed by whether our neural network was correctly able to predict the label or not, and accordingly ta…
-
Hello,
I used the script **test.py** on a **custom dataset** with the labels in original _YOLOv5 format_:
< object-class-ID > < X center > < Y center > < Box width > < Box height >
This i…
-
-
![SNAG-0860](https://user-images.githubusercontent.com/428820/146437601-af635593-3da0-4fa2-975a-a8fb7cae164b.png)
git clone https://github.com/ronylpatil/Covid-19-Detection-using-Deep-Hybrid-Learn…
-
I am developing the hybrid model using the time series and tabular data on CNN and TF DF random forest model on WSL + ubuntu 20.04. I also used a Keras tuner on the hybrid model to get the best hyperp…
-
This issue is to maintain a list of some algorithms that seem particularly useful to implement. Currently up on the docket are:
- [x] [Deep High-Resolution Representation Learning for Human Pose Es…
-
Hello,
I was hoping to mimic your method for the 1D convolutional neural network cited in your paper. When I came to assess your code for the 1D CNN I was surprised to see that all the code was a 2…