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mobilenetv3 tflite model input image size 320x320 crash in android #7733
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Thank you for your post. We noticed you have not filled out the following field in the issue template. Could you update them if they are relevant in your case, or leave them as N/A? Thanks. |
I also met |
There are two things you should have accounted for
The details, with respect to the inputs. The input has to be 320x320. Second, is to change the code below
With the following code-
I hope this helps. |
@Tanmay-Kulkarni101 Thanks for help , but it is still crash. Log is below : |
I used tensorflow object detection api to train MobileNetV3,https://github.com/tensorflow/models/blob/master/research/object_detection/samples/configs/ssdlite_mobilenet_v3_large_320x320_coco.config, Android Project At https://github.com/tensorflow/examples/tree/master/lite/examples/object_detection/android ,but crash, my input image size is 320. because ssdlite_mobilenet_v3_large_320x320_coco.config , default is 320, I used mobilenetv2 input image size is 300 ,and is right not crash , I don't how to modify. android log error: Fatal signal 11 (SIGSEGV), code 1, fault addr 0x20 in tid 5931 (inference)
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