Failed to get any callback frames to render

[ElinLiu0]

Hi,i'm trying to use NVIDIA Triton Inference Server and webRTC to build a detection app.
I have write the recv() function in VideoProcessor like below:

def recv(self,frame):
        inputs,outputs = [],[]
        frame = frame.to_ndarray(format="bgr24")
        image_data = self.preprocess(frame)
        inputs.append(httpclient.InferInput(self.inputName,image_data.shape,"FP32"))
        inputs[0].set_data_from_numpy(image_data)
        outputs.append(httpclient.InferRequestedOutput(self.outputName))
        try:
            results = self.inferenceClient.async_infer(
                model_name = self.modelName,
                inputs = inputs,
                outputs = outputs,
                model_version = self.modelVersion,
                request_id = str(random.random())
            )
            output = results.get_result().as_numpy(self.outputName)
            outputFrame = self.postprocess(frame,output)
            return av.VideoFrame.from_ndarray(outputFrame,format="bgr24")
        except InferenceServerException as e:
            return str(e)

Yet it doesn't render the callback frame on my app:

But i can prove that inference Server working fine,with the same code on opencv local reading script,it works fine:

So is there any way to deal with that?

[ElinLiu0]

Closed,this issue were Due to the different shooting angles in trainig set,then yolo model can't detect the object which front of camera