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- + @@ -434,9 +434,9 @@ with outstanding mAP scores, though noted to be not completely fair due to train
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- + @@ -243,9 +243,9 @@ Default is 0.7.

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- + @@ -233,9 +233,9 @@ Default is 0.3.

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- + @@ -239,9 +239,9 @@ Detections with IoU above this threshold will be merged. Default is 0.7.

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- + @@ -242,9 +242,9 @@ Overlapping detections above this threshold are merged. Default is 0.7.

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- + @@ -230,9 +230,9 @@ Default is 0.7.

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- + @@ -243,9 +243,9 @@ This parameter is deprecated and will be removed in future versions.

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HEAD
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- + @@ -267,9 +267,9 @@ with dev/attachments -
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- + @@ -288,9 +288,9 @@ given images, returning a list of bounding boxes, labels, and confidence scores.
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- + @@ -238,9 +238,9 @@ confidence above this value are returned.

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- + @@ -317,9 +317,9 @@ It’s particularly useful for evaluating object detection results against groun
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- + @@ -220,9 +220,9 @@ Please migrate to dev/attachments -
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- + @@ -224,9 +224,9 @@ while maintaining aspect ratio.

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- + @@ -225,9 +225,9 @@
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- + @@ -199,9 +199,9 @@
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- + @@ -229,9 +229,9 @@ but the probability of extra lines or content appearing will increase.

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- + @@ -222,9 +222,9 @@
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- + @@ -495,9 +495,9 @@ If None, the most recently updated model will be selected.

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- + @@ -439,9 +439,9 @@ pre-computed embeddings as input.

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- + @@ -212,9 +212,9 @@ _process_rgba: Processes RGBA images.

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- + @@ -241,9 +241,9 @@
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- + @@ -406,9 +406,9 @@ pre-computed embeddings.

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- + @@ -365,9 +365,9 @@ interface for object detection without needing to explicitly manage model instan
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- + @@ -327,9 +327,9 @@ a standard way of including metadata in GIF files.

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- + @@ -235,9 +235,9 @@ of AI-generated images.

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- + @@ -523,9 +523,9 @@ along with error correction information for robustness.

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- + @@ -223,9 +223,9 @@ Please use imgutils.metrics.aesthetic.anime_dbaesthetic for better
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- + @@ -673,9 +673,9 @@ so careful tuning is necessary.

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- + @@ -257,9 +257,9 @@ based on danbooru dataset and metadata analysis result of
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- + @@ -253,9 +253,9 @@
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- + @@ -213,9 +213,9 @@ We are exploring better algorithm for anime blur detection.

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- + @@ -296,9 +296,9 @@
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- + @@ -209,9 +209,9 @@
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- + @@ -377,9 +377,9 @@ view more available recognition models and choose the appropriate one for recogn
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- + @@ -204,9 +204,9 @@ aligns with the given dev/attachments -
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- + @@ -529,9 +529,9 @@ in the format (left
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- + @@ -394,9 +394,9 @@ width and height, and the ratio of the covered area to the total mask area.

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- + @@ -225,9 +225,9 @@
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- + @@ -250,9 +250,9 @@ A larger value helps reduce noise in the mask. Set to None or 0 to disable media
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- + @@ -215,9 +215,9 @@
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- + @@ -691,9 +691,9 @@ Base 0 means to interpret the base from the string as an integer literal.
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- + @@ -237,9 +237,9 @@
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- + @@ -197,9 +197,9 @@ it will be resized.

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- + @@ -177,9 +177,9 @@ next available parser.

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- + @@ -289,9 +289,9 @@
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- + @@ -354,9 +354,9 @@ and parsing based on configuration dictionaries or lists, supporting flexible an
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- + @@ -363,9 +363,9 @@ and normalization. It provides a flexible framework for extending with additiona
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- + @@ -1146,9 +1146,9 @@ function.

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- + @@ -431,9 +431,9 @@ which is based on dev/attachments -
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- + @@ -189,9 +189,9 @@
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- + @@ -223,9 +223,9 @@
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- + @@ -190,9 +190,9 @@
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- + @@ -207,9 +207,9 @@ it will return a RGBA image, otherwise return RGG image.

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- + @@ -201,9 +201,9 @@ it will return a RGBA image, otherwise return RGG image.

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- + @@ -230,9 +230,9 @@ and manipulating NovelAI image metadata.

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- + @@ -427,9 +427,9 @@ saving functions.

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- + @@ -264,9 +264,9 @@ metadata before adding new metadata.

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- + @@ -321,9 +321,9 @@ and save metainfo based on the image format and user preferences.

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- + @@ -178,9 +178,9 @@
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- + @@ -272,9 +272,9 @@ inspired by dev/attachments -
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- + @@ -254,9 +254,9 @@
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- + @@ -396,9 +396,9 @@ The argument must be an iterable if specified.

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- + @@ -233,9 +233,9 @@ The default value of dev/attachments -
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- + @@ -234,9 +234,9 @@ trained by &
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- + @@ -267,9 +267,9 @@
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- + @@ -298,9 +298,9 @@
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- + @@ -247,9 +247,9 @@
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- + @@ -224,9 +224,9 @@ model, default is F
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- + @@ -237,9 +237,9 @@ and the input is a list (as it does not have scores).

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- + @@ -223,9 +223,9 @@
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- + @@ -366,9 +366,9 @@ to one embedding’s predictions in the same format as single embedding output.<
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- + @@ -221,9 +221,9 @@ this function will return an RGBA image, otherwise return a RGB image.

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- + @@ -169,9 +169,9 @@
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- + @@ -215,9 +215,9 @@ maximum performance in multithreaded scenarios.

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- + @@ -210,9 +210,9 @@ or an array of numbers using NumPy for efficient computation.

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- + @@ -189,9 +189,9 @@
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- + @@ -224,9 +224,9 @@ to run on CPU.

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- + @@ -302,9 +302,9 @@ will be predicted as dev/attachments -
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- + @@ -324,9 +324,9 @@ please use the
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- + @@ -314,9 +314,9 @@ on the benchmark plot above. If you need better accuracy, just set this to
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- + @@ -210,9 +210,9 @@ Check if an image is greyscale or not.

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- + @@ -284,9 +284,9 @@
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- + @@ -334,9 +334,9 @@ on the benchmark plot above. If you need better accuracy, just set this to
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- + @@ -282,9 +282,9 @@
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- + @@ -345,9 +345,9 @@
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- + @@ -296,9 +296,9 @@ which offers high runtime performance. If you need better accuracy, just use
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- + @@ -334,9 +334,9 @@ The label represents the category with the highest predicted probability.

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- + @@ -284,9 +284,9 @@
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- + @@ -309,9 +309,9 @@ on the benchmark plot above. If you need better accuracy, just set this to
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- + @@ -312,9 +312,9 @@
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- + @@ -234,9 +234,9 @@
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- + @@ -277,9 +277,9 @@
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- + @@ -286,9 +286,9 @@ on the benchmark plot above. If you need better accuracy, just set this to
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- + @@ -214,9 +214,9 @@
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- + @@ -1939,9 +1939,9 @@
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- + @@ -324,9 +324,9 @@
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- + @@ -139,7 +139,7 @@ OS: Linux-6.8.0-1021-azure-x86_64-with-glibc2.34 Python: CPython 3.8.18 CPU Brand: AMD EPYC 7763 64-Core Processor CPU Count: 4 -CPU Freq: 3234.597 MHz +CPU Freq: 3261.5732500000004 MHz Memory Size: 15.615 GiB Has CUDA: No @@ -187,9 +187,9 @@ Has CUDA: No
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- + @@ -141,7 +141,7 @@ OS: Linux-6.8.0-1021-azure-x86_64-with-glibc2.34 Python: CPython 3.8.18 CPU Brand: AMD EPYC 7763 64-Core Processor CPU Count: 4 -CPU Freq: 3237.70075 MHz +CPU Freq: 3241.6099999999997 MHz Memory Size: 15.615 GiB Has CUDA: No @@ -192,9 +192,9 @@ Has CUDA: No
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- + @@ -684,9 +684,9 @@
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- + @@ -152,9 +152,9 @@
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- + @@ -125,7 +125,7 @@

The output should be like below, which means your installation is successful.

-
1imgutils 0.12.0
+
1imgutils 0.13.0
 2Developed and maintained by narugo1992, 7eu7d7
 3A convenient and user-friendly anime-style image data processing library that integrates various advanced anime-style image processing models.
 
@@ -176,9 +176,9 @@
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- + @@ -267,9 +267,9 @@
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- + @@ -279,9 +279,9 @@
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- + @@ -338,9 +338,9 @@
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- + @@ -594,9 +594,9 @@
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- + @@ -279,9 +279,9 @@
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- + @@ -278,9 +278,9 @@
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- + @@ -157,9 +157,9 @@
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+
dev/attachments
- + @@ -1119,9 +1119,9 @@
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- + @@ -619,9 +619,9 @@
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- + @@ -278,9 +278,9 @@
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+
dev/attachments
- + @@ -278,9 +278,9 @@
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+
dev/attachments
- + @@ -264,9 +264,9 @@
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+
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- + @@ -267,9 +267,9 @@
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- + @@ -269,9 +269,9 @@
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- + @@ -291,9 +291,9 @@
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- + @@ -267,9 +267,9 @@
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- + @@ -321,9 +321,9 @@
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- + @@ -259,9 +259,9 @@
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- + @@ -450,9 +450,9 @@
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+
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- + @@ -272,9 +272,9 @@
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- + @@ -247,9 +247,9 @@
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- + @@ -242,9 +242,9 @@
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- + @@ -610,9 +610,9 @@
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- + @@ -262,9 +262,9 @@
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- + @@ -526,9 +526,9 @@
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- + @@ -247,9 +247,9 @@
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- + @@ -253,9 +253,9 @@
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- + @@ -495,9 +495,9 @@
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- + @@ -276,9 +276,9 @@
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- + @@ -308,9 +308,9 @@
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- + @@ -246,9 +246,9 @@
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- + @@ -267,9 +267,9 @@
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- + @@ -255,9 +255,9 @@
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- + @@ -228,9 +228,9 @@
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- + @@ -247,9 +247,9 @@
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- + @@ -688,9 +688,9 @@
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- + @@ -307,9 +307,9 @@
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- + @@ -241,9 +241,9 @@
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+
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- + @@ -185,9 +185,9 @@
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- + @@ -239,9 +239,9 @@
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- + @@ -257,9 +257,9 @@
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+
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- + @@ -285,9 +285,9 @@
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- + @@ -269,9 +269,9 @@
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- + @@ -182,9 +182,9 @@
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+
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- + @@ -244,9 +244,9 @@
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- + @@ -291,9 +291,9 @@
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- + @@ -242,9 +242,9 @@
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- + @@ -256,9 +256,9 @@
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+
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- + @@ -375,9 +375,9 @@
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+
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- + @@ -244,9 +244,9 @@
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+
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- + @@ -266,9 +266,9 @@
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+
HEAD
+
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- + @@ -272,9 +272,9 @@
Branches
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+
HEAD
+
dev/attachments
- + @@ -281,9 +281,9 @@
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+
HEAD
+
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- + @@ -237,9 +237,9 @@
Branches
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dev/attachments
-
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+
HEAD
+
dev/attachments
- + @@ -242,9 +242,9 @@
Branches
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dev/attachments
-
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+
HEAD
+
dev/attachments
- + @@ -204,9 +204,9 @@
Branches
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dev/attachments
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+
HEAD
+
dev/attachments
- + @@ -236,9 +236,9 @@
Branches
-
dev/attachments
-
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+
HEAD
+
dev/attachments
- + @@ -250,9 +250,9 @@ as close as possible to the original image. The default value is 1.8
Branches
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-
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+
HEAD
+
dev/attachments
- + @@ -165,9 +165,9 @@
Branches
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+
HEAD
+
dev/attachments
- + @@ -181,9 +181,9 @@
Branches
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dev/attachments
-
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+
HEAD
+
dev/attachments
- + @@ -226,9 +226,9 @@
Branches
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dev/attachments
-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -229,9 +229,9 @@ accurately present the state of the generated image, as shown in the following f
Branches
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+
HEAD
+
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- + @@ -281,9 +281,9 @@ and validation of blob URL format.

Branches
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+
dev/attachments
- + @@ -212,9 +212,9 @@
Branches
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+
HEAD
+
dev/attachments
- + @@ -218,9 +218,9 @@
Branches
-
dev/attachments
-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -283,9 +283,9 @@ If None, no background will be added. (default: dev/attachments -
HEAD
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+
HEAD
+
dev/attachments
- + @@ -229,9 +229,9 @@
Branches
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dev/attachments
-
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+
HEAD
+
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- + @@ -219,9 +219,9 @@ will be used. However, when all layers are solid colors, this parameter is requi
Branches
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dev/attachments
-
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+
HEAD
+
dev/attachments
- + @@ -434,9 +434,9 @@ with outstanding mAP scores, though noted to be not completely fair due to train
Branches
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+
HEAD
+
dev/attachments
- + @@ -243,9 +243,9 @@ Default is 0.7.

Branches
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-
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+
HEAD
+
dev/attachments
- + @@ -233,9 +233,9 @@ Default is 0.3.

Branches
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-
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+
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+
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- + @@ -239,9 +239,9 @@ Detections with IoU above this threshold will be merged. Default is 0.7.

Branches
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dev/attachments
-
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+
HEAD
+
dev/attachments
- + @@ -242,9 +242,9 @@ Overlapping detections above this threshold are merged. Default is 0.7.

Branches
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-
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+
HEAD
+
dev/attachments
- + @@ -230,9 +230,9 @@ Default is 0.7.

Branches
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-
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+
HEAD
+
dev/attachments
- + @@ -243,9 +243,9 @@ This parameter is deprecated and will be removed in future versions.

Branches
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-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -267,9 +267,9 @@ with dev/attachments -
HEAD
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+
HEAD
+
dev/attachments
- + @@ -288,9 +288,9 @@ given images, returning a list of bounding boxes, labels, and confidence scores.
Branches
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+
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+
dev/attachments
- + @@ -238,9 +238,9 @@ confidence above this value are returned.

Branches
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-
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+
HEAD
+
dev/attachments
- + @@ -317,9 +317,9 @@ It’s particularly useful for evaluating object detection results against groun
Branches
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dev/attachments
-
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+
HEAD
+
dev/attachments
- + @@ -220,9 +220,9 @@ Please migrate to dev/attachments -
HEAD
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+
HEAD
+
dev/attachments
- + @@ -224,9 +224,9 @@ while maintaining aspect ratio.

Branches
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dev/attachments
-
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+
HEAD
+
dev/attachments
- + @@ -225,9 +225,9 @@
Branches
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dev/attachments
-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -199,9 +199,9 @@
Branches
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dev/attachments
-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -229,9 +229,9 @@ but the probability of extra lines or content appearing will increase.

Branches
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+
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+
dev/attachments
- + @@ -222,9 +222,9 @@
Branches
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dev/attachments
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+
HEAD
+
dev/attachments
- + @@ -495,9 +495,9 @@ If None, the most recently updated model will be selected.

Branches
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+
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+
dev/attachments
- + @@ -439,9 +439,9 @@ pre-computed embeddings as input.

Branches
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+
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+
dev/attachments
- + @@ -212,9 +212,9 @@ _process_rgba: Processes RGBA images.

Branches
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+
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+
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- + @@ -241,9 +241,9 @@
Branches
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+
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+
dev/attachments
- + @@ -406,9 +406,9 @@ pre-computed embeddings.

Branches
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dev/attachments
-
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+
HEAD
+
dev/attachments
- + @@ -365,9 +365,9 @@ interface for object detection without needing to explicitly manage model instan
Branches
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-
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+
HEAD
+
dev/attachments
- + @@ -327,9 +327,9 @@ a standard way of including metadata in GIF files.

Branches
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dev/attachments
-
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+
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+
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- + @@ -235,9 +235,9 @@ of AI-generated images.

Branches
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-
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+
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+
dev/attachments
- + @@ -523,9 +523,9 @@ along with error correction information for robustness.

Branches
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+
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+
dev/attachments
- + @@ -223,9 +223,9 @@ Please use imgutils.metrics.aesthetic.anime_dbaesthetic for better
Branches
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-
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+
HEAD
+
dev/attachments
- + @@ -673,9 +673,9 @@ so careful tuning is necessary.

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dev/attachments
-
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+
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+
dev/attachments
- + @@ -257,9 +257,9 @@ based on danbooru dataset and metadata analysis result of
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-
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+
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+
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- + @@ -253,9 +253,9 @@
Branches
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-
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+
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+
dev/attachments
- + @@ -213,9 +213,9 @@ We are exploring better algorithm for anime blur detection.

Branches
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+
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+
dev/attachments
- + @@ -296,9 +296,9 @@
Branches
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dev/attachments
-
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+
HEAD
+
dev/attachments
- + @@ -209,9 +209,9 @@
Branches
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dev/attachments
-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -377,9 +377,9 @@ view more available recognition models and choose the appropriate one for recogn
Branches
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dev/attachments
-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -204,9 +204,9 @@ aligns with the given dev/attachments -
HEAD
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+
HEAD
+
dev/attachments
- + @@ -529,9 +529,9 @@ in the format (left
Branches
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dev/attachments
-
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+
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+
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- + @@ -394,9 +394,9 @@ width and height, and the ratio of the covered area to the total mask area.

Branches
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-
HEAD
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+
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+
dev/attachments
- + @@ -225,9 +225,9 @@
Branches
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dev/attachments
-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -250,9 +250,9 @@ A larger value helps reduce noise in the mask. Set to None or 0 to disable media
Branches
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-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -215,9 +215,9 @@
Branches
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-
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+
HEAD
+
dev/attachments
- + @@ -691,9 +691,9 @@ Base 0 means to interpret the base from the string as an integer literal.
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+
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+
dev/attachments
- + @@ -237,9 +237,9 @@
Branches
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HEAD
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+
HEAD
+
dev/attachments
- + @@ -197,9 +197,9 @@ it will be resized.

Branches
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-
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+
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+
dev/attachments
- + @@ -177,9 +177,9 @@ next available parser.

Branches
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-
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+
HEAD
+
dev/attachments
- + @@ -289,9 +289,9 @@
Branches
-
dev/attachments
-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -354,9 +354,9 @@ and parsing based on configuration dictionaries or lists, supporting flexible an
Branches
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dev/attachments
-
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+
HEAD
+
dev/attachments
- + @@ -363,9 +363,9 @@ and normalization. It provides a flexible framework for extending with additiona
Branches
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-
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+
HEAD
+
dev/attachments
- + @@ -1146,9 +1146,9 @@ function.

Branches
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-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -431,9 +431,9 @@ which is based on dev/attachments -
HEAD
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+
HEAD
+
dev/attachments
- + @@ -189,9 +189,9 @@
Branches
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dev/attachments
-
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+
HEAD
+
dev/attachments
- + @@ -223,9 +223,9 @@
Branches
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dev/attachments
-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -190,9 +190,9 @@
Branches
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dev/attachments
-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -207,9 +207,9 @@ it will return a RGBA image, otherwise return RGG image.

Branches
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dev/attachments
-
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+
HEAD
+
dev/attachments
- + @@ -201,9 +201,9 @@ it will return a RGBA image, otherwise return RGG image.

Branches
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dev/attachments
-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -230,9 +230,9 @@ and manipulating NovelAI image metadata.

Branches
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+
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+
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- + @@ -427,9 +427,9 @@ saving functions.

Branches
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+
HEAD
+
dev/attachments
- + @@ -264,9 +264,9 @@ metadata before adding new metadata.

Branches
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+
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+
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- + @@ -321,9 +321,9 @@ and save metainfo based on the image format and user preferences.

Branches
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-
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+
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+
dev/attachments
- + @@ -178,9 +178,9 @@
Branches
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dev/attachments
-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -272,9 +272,9 @@ inspired by dev/attachments -
HEAD
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+
HEAD
+
dev/attachments
- + @@ -254,9 +254,9 @@
Branches
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dev/attachments
-
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+
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+
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- + @@ -396,9 +396,9 @@ The argument must be an iterable if specified.

Branches
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dev/attachments
-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -233,9 +233,9 @@ The default value of dev/attachments -
HEAD
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+
HEAD
+
dev/attachments
- + @@ -234,9 +234,9 @@ trained by &
Branches
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dev/attachments
-
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+
HEAD
+
dev/attachments
- + @@ -267,9 +267,9 @@
Branches
-
dev/attachments
-
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+
HEAD
+
dev/attachments
- + @@ -298,9 +298,9 @@
Branches
-
dev/attachments
-
HEAD
main
+
HEAD
+
dev/attachments
- + @@ -247,9 +247,9 @@
Branches
-
dev/attachments
-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -224,9 +224,9 @@ model, default is F
Branches
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dev/attachments
-
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+
HEAD
+
dev/attachments
- + @@ -237,9 +237,9 @@ and the input is a list (as it does not have scores).

Branches
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dev/attachments
-
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+
HEAD
+
dev/attachments
- + @@ -223,9 +223,9 @@
Branches
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dev/attachments
-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -366,9 +366,9 @@ to one embedding’s predictions in the same format as single embedding output.<
Branches
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-
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+
HEAD
+
dev/attachments
- + @@ -221,9 +221,9 @@ this function will return an RGBA image, otherwise return a RGB image.

Branches
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dev/attachments
-
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+
HEAD
+
dev/attachments
- + @@ -169,9 +169,9 @@
Branches
-
dev/attachments
-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -215,9 +215,9 @@ maximum performance in multithreaded scenarios.

Branches
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dev/attachments
-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -210,9 +210,9 @@ or an array of numbers using NumPy for efficient computation.

Branches
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dev/attachments
-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -189,9 +189,9 @@
Branches
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dev/attachments
-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -224,9 +224,9 @@ to run on CPU.

Branches
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dev/attachments
-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -302,9 +302,9 @@ will be predicted as dev/attachments -
HEAD
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+
HEAD
+
dev/attachments
- + @@ -324,9 +324,9 @@ please use the
Branches
-
dev/attachments
-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -314,9 +314,9 @@ on the benchmark plot above. If you need better accuracy, just set this to
Branches
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dev/attachments
-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -210,9 +210,9 @@ Check if an image is greyscale or not.

Branches
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dev/attachments
-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -284,9 +284,9 @@
Branches
-
dev/attachments
-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -334,9 +334,9 @@ on the benchmark plot above. If you need better accuracy, just set this to
Branches
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-
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+
HEAD
+
dev/attachments
- + @@ -282,9 +282,9 @@
Branches
-
dev/attachments
-
HEAD
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+
HEAD
+
dev/attachments
- + @@ -345,9 +345,9 @@
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- + @@ -296,9 +296,9 @@ which offers high runtime performance. If you need better accuracy, just use
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- + @@ -334,9 +334,9 @@ The label represents the category with the highest predicted probability.

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- + @@ -309,9 +309,9 @@ on the benchmark plot above. If you need better accuracy, just set this to
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- + @@ -139,7 +139,7 @@ OS: Linux-6.8.0-1021-azure-x86_64-with-glibc2.34 Python: CPython 3.8.18 CPU Brand: AMD EPYC 7763 64-Core Processor CPU Count: 4 -CPU Freq: 3255.13975 MHz +CPU Freq: 3030.0192500000003 MHz Memory Size: 15.615 GiB Has CUDA: No @@ -187,9 +187,9 @@ Has CUDA: No
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The output should be like below, which means your installation is successful.

-
1imgutils 0.12.0
+
1imgutils 0.13.0
 2Developed and maintained by narugo1992, 7eu7d7
 3A convenient and user-friendly anime-style image data processing library that integrates various advanced anime-style image processing models.
 
@@ -176,9 +176,9 @@
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