r4ghu/ios-coreml-yolo

Almost Real-time Object Detection using Apple's CoreML and YOLO v1 -

ios-coreml-yolo's Issues

Can't access Google drive from China because of the GFW.

This is not an issue, but may I ask to get the TinyYOLOv1.mlmodel, I am in China, the god damn it GFW avoid me from access Google, so can you give me another link please? That would be many many thanks if I can have a accessable download link of that TinyYOLOv1.mlmodel model!!!

Can you create a custom model rather than using pre defined model

Hi,

You are using yolo model which is already trained. Can you able create a custom model to detect image which is used in training. ?

Thank you.

doesn't detect anything

Orientation, Camera are weird on my iPad

it's always conversely rotation with any iPad position in my hands

also weird zoom, objects on the camera are closer than should be

p.s. I also don't get any detected objects (drawn rectangles), mb it's because of the wrong frames orientation and yolo just doesn't detect anything

...

fixed zoom with setting
session.sessionPreset = AVCaptureSessionPresetPhoto, iPad just isn't 16:9

Explanation for permutation op

In the model yoloP1P2P3, there is the following layer

model.add(Permute((2,3,1)))

Though it gives correct results, I want to ask about the specific order of (2,3,1). In my understanding, we are switching from Height*Width*Depth convention to Depth*Height*Width , and in that case, shouldn't the tuple be (3,1,2)?

Where is my understanding incorrect?

Explanation for loading weights

In the load_weights function, there is this line, which ignores the first few values of the loaded weights:

data = data[4:]

Can you please explain why we are doing so? And why is this even working?

How to create our own images weights rather than pre-trained weights

Hi r4ghu,

I want to create a custom object detection model using Yolo. In your tutorial i found that the pre trained weights. But can you tell me how to create our own images weights.

Thanks in Advance.

the convert pipeline is broken

seem the coremltools is not imported, after imported below error happens

Traceback (most recent call last):
  File "convert.py", line 133, in <module>
    coreml_model_p1p2p3 = coremltools.converters.keras.convert(model_p1p2p3,
AttributeError: 'module' object has no attribute 'convert'