ruida

convert_h5.py question

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Hi, Thanks for sharing the code with the community. I have one quick question. In convert_h5.py, how do you prepare those corresponding data? i.e., what is the FS mean? Could...

caffe make test and make runtest issues

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I compile caffe code successfully. Encounter issues when I type >make test /include/caffe/data_layers.hpp:280:8: note: candidate expects 4 arguments, 3 provided src/caffe/test/test_memory_data_layer.cpp: In instantiation of ‘void caffe::MemoryDataLayerTest_TestForward_Test::TestBody() [with gtest_TypeParam_ = caffe::FloatCPU]’:...

distributed training error

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Hi, Here is my slurm file. I allocate 4 A100 cards with 64g RAM. #!/bin/bash ### #SBATCH --time=72:00:00 #SBATCH --mem=64g #SBATCH --job-name="lisa" #SBATCH --partition=gpu #SBATCH --gres=gpu:a100:4 #SBATCH --cpus-per-task=4 #SBATCH --mail-type=BEGIN,END,ALL...

graph_construction.py error message

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>python graph_construction.py Leave me those error messages. Any input? url relate problems? Thanks. There are some errors in the retrieving process! class1=bus, class2=bus There are some errors in the retrieving...

Hi, coco_fine.sh: data=${data_dir}/fineseg_refined_val2017.tsv,${data_dir}/fineseg_refined_val2017.tsv coco_unseen.sh: data=${data_dir}/unseen_val2017.tsv,${data_dir}/unseen_val2017.tsv Could you leave me input on why the two valid dataset TSV files were specified in the data variable? Thanks, --Ruida

Hi, I allocate 64g REM with 4 A100 GPUs #SBATCH --time=72:00:00 #SBATCH --mem=64g #SBATCH --job-name="ifseg" #SBATCH --partition=gpu #SBATCH --gres=gpu:a100:4 #SBATCH --cpus-per-task=4 #SBATCH --mail-type=BEGIN,END,ALL sh run_scripts/IFSeg/coco_unseen.sh Here is the distributed training...