Juniar
Juniar
batch_size: 64 #设定batch_size的值即为迭代一次送入网络的图片数量,一般显卡显存越大,batch_size的值可以越大。如果使用多卡训练,总得batch size等于该batch size乘以卡数。 iters: 10000 #模型训练迭代的轮数 train_dataset: #训练数据设置 type: Dataset #指定加载数据集的类。数据集类的代码在`PaddleSeg/paddleseg/datasets`目录下。 dataset_root: /home/aistudio/data/carlane/ train_path: /home/aistudio/data/carlane/train_list.txt #数据集中用于训练的标识文件 num_classes: 7 #指定类别个数(背景也算为一类) mode: train #表示用于训练 transforms: - type: ResizeStepScaling min_scale_factor: 0.5...
! python tools/export.py \ --config ../DeeplabV3.yml \ --model_path output/iter_100/model.pdparams\ --input_shape -1 3 512 512 !paddle2onnx --model_dir ./output/inference_model/ \ --model_filename model.pdmodel \ --params_filename model.pdiparams \ --save_file segonnx/model.onnx \ --opset_version 12 \...
 这个是输出paddle 输出的模型也是固定的shape最后输出还是有问题
我也碰到类似的问题,这个问题解决了吗
![Uploading 微信图片_20240126204855.png…]()
同问 这个文件下载不了啊ttf这个http://182.61.54.236/yolov5/Arial.ttf
Traceback (most recent call last): File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/urllib/request.py", line 1317, in do_open encode_chunked=req.has_header('Transfer-encoding')) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/http/client.py", line 1244, in request self._send_request(method, url, body, headers, encode_chunked) File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/http/client.py", line 1290, in _send_request self.endheaders(body,...