Aniket Srivastav

Can you please elaborate? I am getting some trouble understanding where and what to change. For example: when I looked at SMILEapi, I did not understand where the input was...

Is there any way to get the data per frameTime in realtime for prosody, mfcc and egemaps in opensmile? I am able to configure the API to generate the features...

What will be the way to use FFmpeg with the python API? How do I get the features in real-time using the python API? I have changed the config to:...

We have ffmpeg command ready to decode the audio which is coming from the UDP port, but How do we integrate the command into the opensmile python API?

We have ffmpeg command ready to decode the audio which is coming from the UDP port, but How do we integrate the command into the opensmile python API? can anyone...

The output of the prediction function is ``. I am not sure how the explainer is getting a dict or a list. Here is the prediction function: ```` def classify(...

I changes the input image to a numpy array and change the prediction function accordingly. Here is what I got after passing the prediction function to alibi. ``` =========================================================== **Model...

``awesome! It worked thanks. But now when calling explainer.explain(). I am getting error as `boolean index did not match indexed array along dimension 0; dimension is 100 but corresponding boolean...

Yes, the image shape is (256,256,3) with batch size 1. while running `instance_label = explainer.predictor(image[np.newaxis, ...])[0]` command with input `(1,256,256,3)` I got `onnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Invalid...

For the below piece of code: ``` images= load_img('a.jpeg', target_size=image_size) images = img_to_array(images) images /= 255 images=np.asarray(images) print("image: ",images.shape) print("image type: ",type(images)) instance_label = explainer.predictor(images[np.newaxis, ...])[0] print("instance_label: ",instance_label) images =...