chdzhen

Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX

2

have error

MNN android 平台 MNN_FORWARD_OPENCL使用gpu设备, inference 时间变长

4

# 平台(如果交叉编译请再附上交叉编译目标平台): # Platform(Include target platform as well if cross-compiling): mac上编译android环境的so, 提供给Android Studio使用, 编译到apk文件,在小米note3上使用. 小米note3 硬件信息: CPU型号 高通 骁龙660 GPU型号 高通 Adreno512 # Github版本: # Github Version: commit a14ef5e265cb424b9dc3bc44beb41523c99e4891 #...

what about Linear classification results on ImageNet ?

how can I get pose.mat?

3

''' def create_dataloader_callback(sidelength, batch_size, query_sparsity): train_dataset = RealEstate10k(img_root="data_download/realestate/train", pose_root="poses/realestate/train.mat", num_ctxt_views=opt.views, num_query_views=1, query_sparsity=192, lpips=opt.lpips, augment=(not opt.no_data_aug)) ..... val_dataset = RealEstate10k(img_root="data_download/realestate/test", pose_root="poses/realestate/test.mat", num_ctxt_views=opt.views, num_query_views=1, augment=False) ''' pose_root="poses/realestate/train.mat", pose_root="poses/realestate/test.mat",