Hi,
I'm using run_infer.py to make inference on tiles.
After run script run_infer.py, I got output json and mat file.
But I found that the number of nuclei is not continues in json and mat file.
There's not 315 after 314.
It seems like fig below.
Is that a normal phenomenon?
I wonder if anyone could help me.
Thanks a lot.
I use command as below:
python3 /home/lzh/colon/hovernet/hover_net-master/run_infer.py --gpu=0 --nr_types=6 \
--type_info_path=/home/lzh/colon/hovernet/hover_net-master/type_info.json --batch_size=16 --model_mode=fast \
--model_path=/home/lzh/colon/hovernet/pretrained-model/hovernet_fast_pannuke_type_tf2pytorch.tar --nr_inference_workers=8 \
--nr_post_proc_workers=8 tile --input_dir=/home/lzh/colon/colon-tiles/id --output_dir=/work/lzh/colon/colon-inference/id \
--draw_dot
Hi, I'm using run_infer.py to make inference on tiles. After run script run_infer.py, I got output json and mat file. But I found that the number of nuclei is not continues in json and mat file. There's not 315 after 314. It seems like fig below.
![mat](https://github.com/vqdang/hover_net/assets/93326359/6cd8d99d-c058-414b-b0ae-662315b3410b)
Is that a normal phenomenon? I wonder if anyone could help me. Thanks a lot.
I use command as below: python3 /home/lzh/colon/hovernet/hover_net-master/run_infer.py --gpu=0 --nr_types=6 \ --type_info_path=/home/lzh/colon/hovernet/hover_net-master/type_info.json --batch_size=16 --model_mode=fast \ --model_path=/home/lzh/colon/hovernet/pretrained-model/hovernet_fast_pannuke_type_tf2pytorch.tar --nr_inference_workers=8 \ --nr_post_proc_workers=8 tile --input_dir=/home/lzh/colon/colon-tiles/id --output_dir=/work/lzh/colon/colon-inference/id \ --draw_dot