Are All the Onnx 1.5 implemented operations supported by the OpenCv 4.1 readNetfromOnnx Importer?

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Please provide us at least the list of all the ONNX operations mentioned in the topic.

The operations I mean can be found here. https://github.com/onnx/onnx/blob/mas.... Is any of these not supported?

Do you already have a network? It's better to start with specific model to say if it's supported or not yet. Anyway there is custom layers support so users can implement it in runtime.

What about "Cast" operator. I try by customer layer. but still not working.

class CastLayer(object):
def __init__(self, params, blobs):
    self.to = params.get('to')
    self.input=blobs

def getMemoryShapes(self, inputs):
    if len(inputs)==0:
        #return self.input
        return [[1,3,96,96],[1,3,96,96]]
    inputShape = inputs[0]
    batchSize, numChannels = inputShape[0], inputShape[1]
    height, width = inputShape[2], inputShape[3]

    return [[batchSize, numChannels, height, width]]

def forward(self, inputs):
    return [np.float(inputs[0])]