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k210(MaixPy)/V831 model example train code, include mobilenet classifier and YOLO V2 detector
There is no folder named ncc in the downloaded nncase v0.1.0-rc5.zip file, so should I replace NnCase.Converter in src with ncc?
关于数据集的尺寸
想知道，数据集的输入尺寸一定是224乘224吗？数据集的输入尺寸能否是任意大小呢？ 网络的模型输入是224×224，最后输出在K210开发板上的LCD屏幕上的图像大小也是224×224。能否对网络的部分参数进行修改，使得输入模型的图像尺寸大小和最后输出在LCD屏幕上的图像大小是320×240？
When I trying to train by myself, I encounter the permission denied error. This is my log: 2021-04-04 14:14:39,944 - [INFO]: progress: 0%, start 2021-04-04 14:14:39,944 - [INFO]: progress: 1%,...
Is it possible to use the other backbones described in the `darknet.py` file to train models? Like darkent-19 or darknet-light.
## Take mobilenet's classification model as an example ## Remember to backup! 1. By default, after your training, there is a `m.tflite.h5` file in `maix_train/out`. Copy it to some place...
比如使用下面训练了 100 个 Epochs ```sh python3 train.py -t classifier -z datasets/test_classifier_datasets.zip train ``` 发现结果不理想，想增加 Epochs 到 500，怎么继续训练？
Support for converting large and non square images to 224*244 images. Or built in support for large images.
Hi, What is the latest resource on setting up and training a custom yolo model object detector for the maix-II v831 development board? I am to understand that it needs...
I've a balanced dataset of 550 images with two classes, one of the classes has smaller objects than the other one. **Input Size [3x224x224]** When I set the training script...
I trained a custom yoloV2 detector with 2 classes using the tools provided in this repository, but I've to modify the input size of the image to 416x416 to get...