Prateeth nayak
Prateeth nayak
I was wondering if the `tf.reduce_sum` and `y` are 1d and the mse cost term is 1d, however the gradient to be propagated needs to same dimension as network output...
The line [here](https://github.com/tanakataiki/ssd_kerasV2/blob/05b8a16e87dd346dca935fc39f621b1162b3a99b/model/ssd300MobileNetV2Lite.py#L118) corresponds to the 12th block output. The correct replacement for it is ` FeatureExtractor = Model(inputs=mobilenetv2.input, outputs=mobilenetv2.get_layer('block_12_add').output)`
> Error preparing CoreML model "TinyYOLO.mlmodel" for code generation: coremlcompiler: Error: unrecognized Swift version "4.2". Expected one of: 3.0, 3.1, 3.2 or 4.0 > coremlcompiler: Error: usage: coremlcompiler [options ...]...
I am trying to do something new here. So I have the yolov2 model in frozen_pb format from tensorflow. I have successfully converted it to mlmodel and got it working...
I am trying to do something new here. So I have the yolov2 model in frozen_pb format from tensorflow. I have successfully converted it to mlmodel and got it working...
I followed the weight_extractor doc for converting `yolov2-tiny.cfg` and `yolov2-tiny.weights` using the following command `./darknet yolo test cfg/yolov2-tiny.cfg yolov2-tiny.weights` However, there were no text file written to `cjy` folder. The...