fixed with basilica.jpg (#97)

robertgshaw2-redhat · web-flow · commit e55a3d58b917 · 2022-10-21T14:39:36.000-04:00
diff --git a/src/content/get-started/try-a-model/cv-object-detection.mdx b/src/content/get-started/try-a-model/cv-object-detection.mdx
@@ -92,7 +92,7 @@ yolo_pipeline = Pipeline.create(
     class_names=None,   # if using custom model, pass in a list of classes the model will clasify or a path to a json file containing them
     model_config=None,  # if using custom model, pass in the path to a local model config file here
 )
-inference = yolo_pipeline(images=['basilica'], iou_thres=0.6, conf_thres=0.001)
+inference = yolo_pipeline(images=['basilica.jpg'], iou_thres=0.6, conf_thres=0.001)
 print(inference)
 
 > predictions=[[[174.3507843017578, 478.4552917480469, 346.09051513671875, 618.4129638671875, ...

Original file line number	Diff line number	Diff line change
`@@ -92,7 +92,7 @@ yolo_pipeline = Pipeline.create(`
`92`	`92`	`class_names=None, # if using custom model, pass in a list of classes the model will clasify or a path to a json file containing them`
`93`	`93`	`model_config=None, # if using custom model, pass in the path to a local model config file here`
`94`	`94`	`)`
`95`		`-inference = yolo_pipeline(images=['basilica'], iou_thres=0.6, conf_thres=0.001)`
	`95`	`+inference = yolo_pipeline(images=['basilica.jpg'], iou_thres=0.6, conf_thres=0.001)`
`96`	`96`	`print(inference)`
`97`	`97`
`98`	`98`	`> predictions=[[[174.3507843017578, 478.4552917480469, 346.09051513671875, 618.4129638671875, ...`