I am racking my brain trying to figure why I am getting this error. I check the submission file and it's indeed mission solution ids. Any idea what can be causing this error?
\n\nEvaluation Exception: The submitted ids must contain all solution ids.
", "messages": [ { "id": 314479, "postDate": "2018-04-15T16:43:07.937Z", "content": "I got the Evaluation Exception: The same pixel may not be assigned to two different objects.\n. weird......
", "rawMarkdown": "I got the Evaluation Exception: The same pixel may not be assigned to two different objects.\n. weird......", "votes": 1, "replies": [ { "id": 314514, "postDate": "2018-04-15T18:02:10.783Z", "content": "Same issue after adding image id-s without any detected nuclei. I have double- and triple-checked that there is no overlap anywhere. Yet...
", "rawMarkdown": "Same issue after adding image id-s without any detected nuclei. I have double- and triple-checked that there is no overlap anywhere. Yet..." } ] }, { "id": 314300, "postDate": "2018-04-15T07:32:23.840Z", "content": "Hello.\nThe sample file 'stage2_sample_submission_final.csv.zip' has all the IDs.\nJust to be sure, you should compare IDs of your submission file with IDs of sample file.
", "rawMarkdown": "Hello.\nThe sample file 'stage2_sample_submission_final.csv.zip' has all the IDs.\nJust to be sure, you should compare IDs of your submission file with IDs of sample file." }, { "id": 314284, "postDate": "2018-04-15T06:05:44.563Z", "content": "Hi as @Mehul pointed out, this will sort the error.
\nThe code by @See in this thread https://www.kaggle.com/c/data-science-bowl-2018/discussion/54295#314103 helped me a lot
Hi William, \nI had the same issue. do you have some code like this ?
\n\nfor i in range(predicts.shape[2]): \n rle = rle_encoding(predicts[:,:,i])\n if len(rle)>0:\n ImageId.append(img_name)\n EncodedPixels.append(rle)
\n\nWhat you need to add is if len(rle)==0, then just append an empty string in Encoded pixels.
", "rawMarkdown": "Hi William, \nI had the same issue. do you have some code like this ? \n\n\n for i in range(predicts.shape[2]): \n rle = rle_encoding(predicts[:,:,i])\n if len(rle)>0:\n ImageId.append(img_name)\n EncodedPixels.append(rle) \n\n\nWhat you need to add is if len(rle)==0, then just append an empty string in Encoded pixels. \n", "replies": [ { "id": 314471, "postDate": "2018-04-15T16:23:24.343Z", "content": "Should it be changed like so:
\n\nfor i in range(predicts.shape[2]):\n rle = run_length_encoding(predicts[:,:,i])\n if len(rle)==0:\n ImageId.append(img_name)\n EncodedPixels.append(rle)\nreturn ImageId, EncodedPixels\nI did this: \nif len(rle)==0:\n ImageId.append(img_name)\n EncodedPixels.append(\" \")\nif len(rle)>0:\n ImageId.append(img_name)\n EncodedPixels.append(rle)\nThe other option is to use the script from here: \nhttps://www.kaggle.com/c/data-science-bowl-2018/discussion/54295#312816
", "rawMarkdown": "I did this: \nif len(rle)==0:\n ImageId.append(img_name)\n EncodedPixels.append(\" \")\nif len(rle)>0:\n ImageId.append(img_name)\n EncodedPixels.append(rle)\nThe other option is to use the script from here: \nhttps://www.kaggle.com/c/data-science-bowl-2018/discussion/54295#312816" }, { "id": 314537, "postDate": "2018-04-15T19:11:02.250Z", "content": "Thank you Mehul. I am testing it now. I greatly appreciate your assistance and prompt reply.
", "rawMarkdown": "Thank you Mehul. I am testing it now. I greatly appreciate your assistance and prompt reply. " }, { "id": 314655, "postDate": "2018-04-16T03:32:32.460Z", "content": "Should it be like so:
\n\n for i in range(predicts.shape[2]):\n rle = run_length_encoding(predicts[:,:,i])\n if len(rle)==0:\n ImageId.append(img_name)\n EncodedPixels.append(\" \")\n else:\n if len(rle)>0: \n ImageId.append(img_name)\n EncodedPixels.append(rle)\nreturn ImageId, EncodedPixels\nMay I ask will it work...!?
\n\n```
\n\npreds_test_upsampled = []\nfor i in range(len(preds_test)):\n preds_test_upsampled.append(cv2.resize(preds_test[i], \n (sizes_test[i][1], sizes_test[i][0])))\n\n\ntest_ids = next(os.walk(test_path))[1]\nnew_test_ids = []\nrles = []\nemty_id=[]\n\n\n\nfor n, id_ in enumerate(test_ids):\n rle = list(prob_to_rles(preds_test_upsampled[n]))\n rles.extend(rle)\n if len(rle)==0:\n new_test_ids.extend([id_])\n emty_id.append(id_)\n else:\n new_test_ids.extend([id_] * len(rle))\n```
", "rawMarkdown": "May I ask will it work...!?\n\n```\n\n preds_test_upsampled = []\n for i in range(len(preds_test)):\n preds_test_upsampled.append(cv2.resize(preds_test[i], \n (sizes_test[i][1], sizes_test[i][0])))\n \n \n test_ids = next(os.walk(test_path))[1]\n new_test_ids = []\n rles = []\n emty_id=[]\n \n \n \n for n, id_ in enumerate(test_ids):\n rle = list(prob_to_rles(preds_test_upsampled[n]))\n rles.extend(rle)\n if len(rle)==0:\n new_test_ids.extend([id_])\n emty_id.append(id_)\n else:\n new_test_ids.extend([id_] * len(rle))\n\n``` " } ] }, { "id": 314278, "postDate": "2018-04-15T05:16:38.060Z", "content": "I am racking my brain trying to figure why I am getting this error. I check the submission file and it's indeed mission solution ids. Any idea what can be causing this error?
\n\nEvaluation Exception: The submitted ids must contain all solution ids.
", "rawMarkdown": "I am racking my brain trying to figure why I am getting this error. I check the submission file and it's indeed mission solution ids. Any idea what can be causing this error? \n\nEvaluation Exception: The submitted ids must contain all solution ids." }, { "id": 314515, "postDate": "2018-04-15T18:08:04.717Z", "rawMarkdown": "", "isDeleted": true } ], "comments": [ { "id": 314479, "author_name": "Eric Chan", "author_url": "", "post_date": "2018-04-15T16:43:07.937000", "content": "I got the Evaluation Exception: The same pixel may not be assigned to two different objects.\n. weird......
", "votes": 1, "replies": [ { "id": 314514, "author_name": "Quark02", "author_url": "", "post_date": "2018-04-15T18:02:10.783000", "content": "Same issue after adding image id-s without any detected nuclei. I have double- and triple-checked that there is no overlap anywhere. Yet...
", "votes": 0, "replies": [] } ] }, { "id": 314300, "author_name": "Eiji-K", "author_url": "", "post_date": "2018-04-15T07:32:23.840000", "content": "Hello.\nThe sample file 'stage2_sample_submission_final.csv.zip' has all the IDs.\nJust to be sure, you should compare IDs of your submission file with IDs of sample file.
", "votes": 0, "replies": [] }, { "id": 314284, "author_name": "VikramanK", "author_url": "", "post_date": "2018-04-15T06:05:44.563000", "content": "Hi as @Mehul pointed out, this will sort the error.
\nThe code by @See in this thread https://www.kaggle.com/c/data-science-bowl-2018/discussion/54295#314103 helped me a lot
Hi William, \nI had the same issue. do you have some code like this ?
\n\nfor i in range(predicts.shape[2]): \n rle = rle_encoding(predicts[:,:,i])\n if len(rle)>0:\n ImageId.append(img_name)\n EncodedPixels.append(rle)
\n\nWhat you need to add is if len(rle)==0, then just append an empty string in Encoded pixels.
", "votes": 0, "replies": [ { "id": 314471, "author_name": "William Green", "author_url": "", "post_date": "2018-04-15T16:23:24.343000", "content": "Should it be changed like so:
\n\nfor i in range(predicts.shape[2]):\n rle = run_length_encoding(predicts[:,:,i])\n if len(rle)==0:\n ImageId.append(img_name)\n EncodedPixels.append(rle)\nreturn ImageId, EncodedPixels\nI did this: \nif len(rle)==0:\n ImageId.append(img_name)\n EncodedPixels.append(\" \")\nif len(rle)>0:\n ImageId.append(img_name)\n EncodedPixels.append(rle)\nThe other option is to use the script from here: \nhttps://www.kaggle.com/c/data-science-bowl-2018/discussion/54295#312816
", "votes": 0, "replies": [] }, { "id": 314537, "author_name": "William Green", "author_url": "", "post_date": "2018-04-15T19:11:02.250000", "content": "Thank you Mehul. I am testing it now. I greatly appreciate your assistance and prompt reply.
", "votes": 0, "replies": [] }, { "id": 314655, "author_name": "William Green", "author_url": "", "post_date": "2018-04-16T03:32:32.460000", "content": "Should it be like so:
\n\n for i in range(predicts.shape[2]):\n rle = run_length_encoding(predicts[:,:,i])\n if len(rle)==0:\n ImageId.append(img_name)\n EncodedPixels.append(\" \")\n else:\n if len(rle)>0: \n ImageId.append(img_name)\n EncodedPixels.append(rle)\nreturn ImageId, EncodedPixels\nMay I ask will it work...!?
\n\n```
\n\npreds_test_upsampled = []\nfor i in range(len(preds_test)):\n preds_test_upsampled.append(cv2.resize(preds_test[i], \n (sizes_test[i][1], sizes_test[i][0])))\n\n\ntest_ids = next(os.walk(test_path))[1]\nnew_test_ids = []\nrles = []\nemty_id=[]\n\n\n\nfor n, id_ in enumerate(test_ids):\n rle = list(prob_to_rles(preds_test_upsampled[n]))\n rles.extend(rle)\n if len(rle)==0:\n new_test_ids.extend([id_])\n emty_id.append(id_)\n else:\n new_test_ids.extend([id_] * len(rle))\n```
", "votes": 0, "replies": [] } ] }, { "id": 314515, "author_name": "", "author_url": "", "post_date": "2018-04-15T18:08:04.717000", "content": "", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "314479": "I got the Evaluation Exception: The same pixel may not be assigned to two different objects.\n. weird......", "314300": "Hello.\nThe sample file 'stage2_sample_submission_final.csv.zip' has all the IDs.\nJust to be sure, you should compare IDs of your submission file with IDs of sample file.", "314284": "Hi as @Mehul pointed out, this will sort the error. \nThe code by @See in this thread https://www.kaggle.com/c/data-science-bowl-2018/discussion/54295#314103 helped me a lot ", "314279": "Hi William, \nI had the same issue. do you have some code like this ? \n\n\n for i in range(predicts.shape[2]): \n rle = rle_encoding(predicts[:,:,i])\n if len(rle)>0:\n ImageId.append(img_name)\n EncodedPixels.append(rle) \n\n\nWhat you need to add is if len(rle)==0, then just append an empty string in Encoded pixels. \n", "314278": "I am racking my brain trying to figure why I am getting this error. I check the submission file and it's indeed mission solution ids. Any idea what can be causing this error? \n\nEvaluation Exception: The submitted ids must contain all solution ids.", "314515": "" } }