# from . import core, utils # from .__main__ import main # import pkg_resources # __version__ = pkg_resources.get_distribution("omnipose").version import pkg_resources __version__ = pkg_resources.get_distribution("omnipose").version __all__ = ['core', 'models','io','metrics'...
fromutils.recordsimportEventCollectiontextured_outputs=EventCollection().load_from_session('interaction_records',YOUR_SESSION_TOKEN).filter_to(label='TEXTURED_OBJECT')forevintextured_outputs:print(ev.textured_output_paths) You can also visualize the inputs and outputs to the stylization part of the pi...
Cannot import name 'available_if' from 'sklearn.utils.metaestimators' 78 Difference between scikit-learn and sklearn (now deprecated) 1 Cannot import name 'plot_precision_recall_curve' from 'sklearn.metrics' 5 Python 3 ImportError: cannot import name 'model selection...
-- li标签定义列表项目 --> 列表标题一
错误解决1:Strong baseline报from utils.iotools import mkdir_if_missing 1.日期:20210512 2.问题: 3.原因: 1)路径错误 2)utils包和xl环境里的utils包冲突 4.如何发现: 1)把mkdir_if_missing注释掉,又发现reid_metrics出问题,都是重新写的utils包的里的文件出问题 5.如何修复: 1)把utils包换成util,...
from pynvml import * def print_gpu_utilization(): nvmlInit() handle = nvmlDeviceGetHandleByIndex(0) info = nvmlDeviceGetMemoryInfo(handle) print(f"GPU memory occupied: {info.used//1024**2} MB.") def print_summary(result): print(f"Time: {result.metrics['train_runtime...
utils com.azure.resourcemanager.changeanalysis com.azure.resourcemanager.changeanalysis.fluent com.azure.resourcemanager.changeanalysis.models com.azure.resourcemanager.changeanalysis.fluent.models com.azure.resourcemanager.search.fluent com.azure.resourcemanager.search.models com.azure....
naive_bayes import BernoulliNB, MultinomialNB from sklearn.neighbors import KNeighborsClassifier from sklearn.neighbors import NearestCentroid from sklearn.ensemble import RandomForestClassifier from sklearn.utils.extmath import density from sklearn import metrics from sklearn.cross_validation import train_...
In case you would like to obtain random series of elements, Collections utils class might be handy: public void givenList_whenSeriesLengthChosen_shouldReturnRandomSeries() { List<Integer> givenList = Lists.newArrayList(1, 2, 3, 4, 5, 6); Collections.shuffle(givenList); int randomSeriesLength...
utils import predict_sentiment model_name = 'model_en.pth' model_path = f'./ml/models/{model_name}' model = CharacterLevelCNN() # download the trained PyTorch model from Github # and save it at src/api/ml/models/ # this is done at the first run of the API if model_name not in...