{"record":{"id":"82299b7c79db3b01","repo":"tensorflow/models","slug":"image-not-found-at-image-path","errorCode":null,"errorMessage":"Image not found at {image_path}","messagePattern":"Image not found at (.+?)","errorType":"exception","errorClass":"FileNotFoundError","httpStatus":null,"severity":"error","filePath":"official/projects/waste_identification_ml/Deploy/detr_cloud_deployment/client/triton_server_inference.py","lineNumber":132,"sourceCode":"\n  def _get_input_batch_for_inference(self, image_path: str) -> np.ndarray:\n    \"\"\"Preprocesses an image for Triton inference.\n\n    Loads an image, resizes it, converts it to RGB, normalizes pixel values,\n    and transposes it to the channel-first format expected by the model.\n\n    Args:\n      image_path: The path to the input image file.\n\n    Returns:\n      A numpy array representing the preprocessed image, ready for inference.\n\n    Raises:\n      FileNotFoundError: If the image file does not exist.\n    \"\"\"\n    original_image = cv2.imread(image_path)\n    if original_image is None:\n      raise FileNotFoundError(f'Image not found at {image_path}')\n\n    rgb_image = cv2.cvtColor(original_image, cv2.COLOR_BGR2RGB)\n    resized_image = cv2.resize(\n        rgb_image, self.input_size, interpolation=cv2.INTER_AREA\n    )\n\n    # Normalize: (pixel / 255 - mean) / std\n    float_image = resized_image.astype(np.float32) / 255.0\n    normalized_image = (float_image - self.means) / self.stds\n\n    # Transpose to CHW and add batch dimension\n    transposed_image = np.transpose(normalized_image, (2, 0, 1))\n    batched_image = np.expand_dims(transposed_image, axis=0).astype(np.float32)\n    return batched_image\n\n  def _reformat_triton_output_to_dict(\n      self,\n      outputs: List[np.ndarray],","sourceCodeStart":114,"sourceCodeEnd":150,"githubUrl":"https://github.com/tensorflow/models/blob/e006f5f0d534913e49c1f1dae87364039fa607e2/official/projects/waste_identification_ml/Deploy/detr_cloud_deployment/client/triton_server_inference.py#L114-L150","documentation":"Error \"Image not found at {image_path}\" thrown in tensorflow/models.","triggerScenarios":"Thrown at official/projects/waste_identification_ml/Deploy/detr_cloud_deployment/client/triton_server_inference.py:132 when the library encounters an invalid state.","commonSituations":"See trigger scenarios.","solutions":[],"exampleFix":null,"handlingStrategy":null,"validationCode":null,"typeGuard":null,"tryCatchPattern":null,"preventionTips":[],"tags":[],"backgroundTag":null,"analyzedSha":"e006f5f0d534913e49c1f1dae87364039fa607e2","analyzedAt":"2026-08-24T14:09:15.576Z","schemaVersion":2},"datasetVersion":"2026-08-24T17:17:21.512Z"}