Tony Wang

I installed this version, but when I use keras, model = tf.keras.Sequential() model.add(Dense(256 * staticMult, activation="relu", input_shape=(X_train.shape[-1],))) the first line works, but it gets stuck at the second line. E:...

I have noticed, that instead I could use image[row, column], but what confuses me is, why both exist. Imaga.Data can go out of sync with the real image, if someone...

So I have noticed, that after changing the access method, everything got veeeeery slow. It is in fact so slow, that even copying the entire image for just accessing 10%...

I was pondering about this as well. Somehow Copilot brought me to this issue since I couldn't find this information anywhere. Is there a point to ever use Sequential over...

After typing everything out I realized: multiple definitions, that might be because of the multiple simd libraries! And indeed when I remove: find_library(SIMD_BASE_LIBRARY NAMES base) find_library(AMXBF16_LIBRARY NAMES amxbf16) find_library(AVX1_LIBRARY NAMES...

Hello thank you so much for the quick reply! I do indeed want to link Simd statically to create my own library that exports functions dynamically. The static linking worked...

While I fully support moving the data/ folder, which had no reason to be there at the root. I can not fully agree on the decision to move the CascadeClassifier...

As a side note or rather feature request: While the current YN implementation is much slower than the cascade, it could be similarly fast if there was a quantizes version....

@kaingwade Thanks for the information! I was not aware that opencv hat an implementation for quantized networks and will definitely check it out. In particular, the fact that the model...

If anyone is interested: I did the comparison of the blog (and more) on a raspberry pi and you can see the results [here](https://github.com/TonyCongqianWang/cv_facedetection_eval/). In short: using lbpCascades is slightly...