chowkamlee81
chowkamlee81
After builing evaluator got an error below: Kindly help 100%] Linking CXX executable caffe_test_ex libcaffe_test.a(hdf5_reader.cpp.o): In function `hdf5_reader::hdf5_reader(boost::filesystem::path, std::__cxx11::basic_string const&)': hdf5_reader.cpp:(.text+0x218e): undefined reference to `caffe::GetEmptyStringAlreadyInited[abi:cxx11]()' collect2: error: ld returned 1...
I want to work on my dataset captured from car environment, kindly suggest how to write data in mdb format. Kindly do the needul....
while excecuting python evaluate_video_ucf101_split1.py File "evaluate_video_ucf101_split1.py", line 107, in net.load_checkpoint(epoch=args.load_epoch) File "../train/model.py", line 62, in load_checkpoint assert os.path.exists(load_path), "Failed to load: {} (file not exist)".format(load_path) AssertionError: Failed to load: ./../exps/_ep-0000.pth...
hai since i don't have GPU capacity in my laptop, iam unable to train. Hence kindly provide some pretrained model which will be helpful
How you have designed anchors using https://github.com/wl5/complex_yolo_3d/blob/e82ed9701c84b0f07f32e6896e53b58ce863e944/utils.py#L232
After giving python scripts/txt2img.py --prompt "a professional photograph of an astronaut riding a horse" --ckpt model_files/v2-1_768-ema-pruned.ckpt --config configs/stable-diffusion/v2-inference-v.yaml --H 768 --W 768 iam getting error below: Creating invisible watermark encoder...
when i ran python scripts/txt2img.py --prompt "a professional photograph of an astronaut riding a horse" --ckpt model_files/v2-1_768-ema-pruned.ckpt --config configs/stable-diffusion/v2-inference-v.yaml --H 768 --W 768, it is giving out-of-memory error. I had...
Kindly tell me the procedure to train and test? What are the pretrained models used... Kindly specify
Would like to know accuracy on trained with Nuscene dataset? Is it trained for sweeps=1 or sweeps=10. Kindly help
Hi, Thanks for your useful code. Do you have tensorRT model so that i can check on inference part. Regards K S Chidanand Kumar