运行后pp.normalize_total后, adata的数值发生变换 sc.pp.normalize_total(adata, target_sum=1)adata.X# array([[0.14, 0.14, 0.14, 0.29, 0.29],# [0.14, 0.14, 0.14, 0.29, 0.29],# [0.04, 0.79, 0.04, 0.07, 0.07]], dtype=float32) 数值变换满足一个规律,即每行的的总和加起来为一个确定数值...
运行后pp.normalize_total后, adata的数值发生变换 sc.pp.normalize_total(adata,target_sum=1)adata.X# array([[0.14, 0.14, 0.14, 0.29, 0.29],# [0.14, 0.14, 0.14, 0.29, 0.29],# [0.04, 0.79, 0.04, 0.07, 0.07]], dtype=float32) 数值变换满足一个规律,即每行的的总和加起来为一个确定数值,...
3.,3.,6.,6.],[1.,1.,1.,2.,2.],[1.,22.,1.,2.,2.]],dtype=float32)X_norm=sc.pp.normalize_total(adata,target_sum=1,inplace=False)['X']X_normarray([[0.14,0.14,0.14,0.29,0.29],[0.14,0.14,0.14,0.29
])) X_norm= sc.pp.normalize_total(adata, inplace=False)#输出:X_norm {'X': array([[ 3. , 3. , 3. , 6. , 6. ], [3. , 3. , 3. , 6. , 6. ], [0.75, 16.5 , 0.75, 1.5 , 1.5 ]], dtype=float32),'norm_factor': array([21., 7., 28.], dtype=float32)} 在t...
且YOLOX框架中,在图像预处理时已经不再进行normalize操作。而PPYOLOE仍然延续使用yolov3中的normalize操作。 TestReader:inputs_def:image_shape:[3,640,640]sample_transforms:-Decode:{}-Resize:{target_size:[640,640],keep_ratio:False,interp:2}-NormalizeImage:{mean:[0.485,0.456,0.406],std:[0.229,0.224...
Normalize val_dataset: type: Dataset dataset_root: /opt/drone/datasets-seg-paddle num_classes: 2 mode: val val_path: /opt/drone/datasets-seg-paddle/val.txt transforms: - type: Normalize optimizer: type: SGD momentum: 0.9 weight_decay: 5.0e-4 lr_scheduler: type: PolynomialDecay learning_ra...
mode: paddle draw_threshold: 0.5 metric: COCO use_dynamic_shape: false arch: YOLO min_subgraph_size: 3 Preprocess: - interp: 2 keep_ratio: false target_size: - 640 - 640 type: Resize - is_scale: true mean: - 0.485 - 0.456 - 0.406 std: - 0.229 - 0.224 - 0.225 type: NormalizeIma...
NormalizeImage --transform op: Permute --- class_id:1, confidence:0.9585, left_top:[235.96,388.74],right_bottom:[351.29,482.10] class_id:1, confidence:0.9480, left_top:[857.82,363.71],right_bottom:[1023.32,583.46] class_id:1, confidence:0.9222, left_top:[485.34,401.12],right_bottom:[555....
The momentum dependence of the total cross section agrees quite well with the result of a phase-shift analysis by Arndt. Our measurement of the ppπ0 and pnπ+ cross sections served to normalize the earlier systematic but relative and extrapolated measurements of these cross sections over a ...
Normalize type: Dataset val_dataset: dataset_root: data/mini_supervisely mode: val num_classes: 2 transforms: - target_size: - 192 - 192 type: Resize - type: Normalize type: Dataset val_path: data/mini_supervisely/val.txt --- W0906 18:38:37.307232 7592 gpu_resources.cc:61] Please NOT...