From 020886c3d5dcce3cf171fbb6dec1a47b22725d79 Mon Sep 17 00:00:00 2001 From: Udit Narayan Purohit <89298430+Uditpurohit03@users.noreply.github.com> Date: Fri, 8 Sep 2023 11:55:14 +0530 Subject: [PATCH] Added Predict_Endpoint variable for Prediction Endpoint Earlier code does not have predict_endpoint you use same training endpoint for both training and testing which generate error so create new variable for prediction endpoint and use it in prediction part --- .../ImageClassification/CustomVisionQuickstart.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/python/CustomVision/ImageClassification/CustomVisionQuickstart.py b/python/CustomVision/ImageClassification/CustomVisionQuickstart.py index 8bffaa66..439dd68b 100644 --- a/python/CustomVision/ImageClassification/CustomVisionQuickstart.py +++ b/python/CustomVision/ImageClassification/CustomVisionQuickstart.py @@ -29,7 +29,7 @@ training_key = os.environ["VISION_TRAINING_KEY"] prediction_key = os.environ["VISION_PREDICTION_KEY"] prediction_resource_id = os.environ["VISION_PREDICTION_RESOURCE_ID"] - +Predict_ENDPOINT = os.environ["VISION_PREDICTION_ENDPOINT"] # # @@ -101,7 +101,7 @@ # # Now there is a trained endpoint that can be used to make a prediction prediction_credentials = ApiKeyCredentials(in_headers={"Prediction-key": prediction_key}) -predictor = CustomVisionPredictionClient(ENDPOINT, prediction_credentials) +predictor = CustomVisionPredictionClient(Predict_ENDPOINT, prediction_credentials) with open(os.path.join (base_image_location, "Test/test_image.jpg"), "rb") as image_contents: results = predictor.classify_image(