kadmor
kadmor
> Привет@Kromtar Мне удалось загрузить ваши модели onnx на сервер вывода Triton. Я переработал весь код, чтобы он работал и все идет от и до. Тем не менее, результаты не...
> right now I have these in dev environment `name: "ocr-detection-onnx" platform: "onnxruntime_onnx" max_batch_size : 0 input [ { name: "input1" data_type: TYPE_FP32 format: FORMAT_NCHW dims: [ 3, -1, -1...
> Here is approach for recognition model: > > 1. Download the desired recognition language model. Example: > `wget https://github.com/JaidedAI/EasyOCR/releases/download/v1.6.1/cyrillic_g2.zip` > 2. Provide language model configuration: > > ``` >...
@samiechan Thank you very much!
Hello, is there a solution or update?
Hello. Has there been any progress on this task? I have a similar task, I want tritonserver to be deployed on different machines with different max_batch_size. I have a powerful...
``` import os import torch.backends.cudnn as cudnn import yaml from train import train from utils import AttrDict cudnn.benchmark = True cudnn.deterministic = False def get_config(file_path): with open(file_path, 'r', encoding="utf8") as...
