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    Replace the voxl-tflite-server Yolov5 model

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    • J
      José Carlos Aradillas Jaramillo
      last edited by 19 Sept 2024, 11:19

      I am trying to train a custom Yolov5 model with the goal of integrating it in the voxl-tflite-server. I am using the a pretrained model in different formats (Yolov5s, Yolov5m or Yolov5l) The model is quantized as explained in https://docs.modalai.com/voxl-tflite-server/ , after replacing the model file in the server, it works but the output detects random boxes in the input image.

      It is a Voxl 2 I do not know if there are a new documentation regarding this topic. In the link above the details for Voxl 2 is using the Tensorflow 2.8.0.

      Is there any way to train the same Yolov5 model that is implemented in the voxl-tflite-server to avoid further coding in the server?

      Thanks in advance

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