We read every piece of feedback, and take your input very seriously. Include my email address so I can be contacted Cancel Submit feedback Saved searches Use saved searches to filter your results more quickly Cancel Create saved search Sign in Sign up Reseting focus {...
我部署了Samples/YOLOV5USBCamera/python这个例程(https://gitee.com/ascend/EdgeAndRobotics/tree/master/Samples/YOLOV5USBCamera/python),使用官方提供的onnx模型转换om文件后能够正常推理,但是我尝试使用自己转换的onnx转换om文件虽然没有报错,转换命令是: atc --model=yolov5s_nms.onnx --framework=5 --out...
I have a dataset with categorical data with 31 levels. I want to show their distribution in a scatterplot with ggplot, but I want to place special emphasis on some of the datapoints, like the red circ...Macro Vim - expand multiple Verilog Bus I'm trying to implement Macro to expand ...
DialogPython Label Explanation Data Type Mosaic Dataset The mosaic dataset that you want to export the geometry from. Mosaic Layer Output Feature Class Name the feature class you are creating. Feature Class Query Definition (Optional) SQL Expression Geometry Type (Optional) The type of geometry ...
假设您的目标是从相对复杂的计算图像中取样。通常Export对图像更有效toAsset(),加载导出的图像,然后采样。例如: 代码语言:javascript 代码运行次数:0 varimage=ee.Image('UMD/hansen/global_forest_change_2018_v1_6');vargeometry=ee.Geometry.Polygon([[[-76.64069800085349,5.511777325802095],[-76.64069800085349,-...
CustomPythonPackageTrainingJob CustomTrainingJob Endpoint EntityType Execution Experiment ExperimentRun Feature Featurestore HyperparameterTuningJob ImageDataset MatchingEngineIndex MatchingEngineIndexEndpoint Model ModelDeploymentMonitoringJob ModelEvaluation PipelineJob PipelineJobSchedule Private...
I have written custom API in superset_config.py file in the custom security manager of apache superset. @expose('/download_dataset/<int:dataset_id>/xlsx/') def download_dataset_xlsx(self, dataset_id): # Code to download dataset in XLSX format query = db.session.query(Query).filter_by(...
data = tablib.Dataset(headers=headers) fromdjango.dbimportconnection cr = connection.cursor() sql =""" select A.id, A.create_date_without_time, A.count_product_check, A.sum_actual_check_qty, A.count_product_quality, A.sum_actual_quality_qty, ...
```python opts = parse_opt() print(opts.data) print(opts.weights) ``` """ parser = argparse.ArgumentParser() parser.add_argument("--data", type=str, default=ROOT / "data/coco128.yaml", help="dataset.yaml path") parser.add_argument("--weights", nargs="+", type=str...
After reducing the overall execution time by half, our next targets were the queries. Two queries are executed to produce the dataset for the export. Before any change is made, it took the "main" query ~2s and the prefetch ~8s to complete. ...