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a/README.md +++ b/README.md @@ -3,7 +3,7 @@ ### About DMC Image Converter is a tool used to create cross stitch patterns from images. --- -![Converter Screenshot](./screenshot.png) +![Converter Screenshot](./Images/screenshot.png) ### Current Features - Load an image and have it converted into a pattern for cross stitching with DMC floss. - Automatic selection of best DMC threads to use, as well as user specified. From 79389c7bd1fac0d29799a7790315c31889881909 Mon Sep 17 00:00:00 2001 From: Ryan <46761112+Ryason@users.noreply.github.com> Date: Thu, 15 Jul 2021 17:05:11 +0100 Subject: [PATCH 10/17] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index f22ab0a..8ea9052 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ ### About DMC Image Converter is a tool used to create cross stitch patterns from images. --- -![Converter Screenshot](./Images/screenshot.png) +![Converter Screenshot](./Images/uniqueness9.PNG) ### Current Features - Load an image and have it converted into a pattern for cross stitching with DMC floss. - Automatic selection of best DMC threads to use, as well as user specified. 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zi+}clWNE1^O1P&QISF2k$w;=Hv&GZ)&OYO1ATgg}$vh=w%#}=bZ9|>iVuwrP52tbs zTyCb<^8GBZB8<*K?}9=FN!*GOnQDIEmEMLPhh*uN!c5_-`Kb@KP-i{rgDZr?21;jqd9BPl= zp(Nja+%h-QcuHO5&5s6#m-hFGD865=K`cWZh;P2fslf!5BMO7i=UP%`o^^1XURRI8 z{@|cB5tNJRVtSog*7J03&B|KA;kCqaqX7VX0>Or=jmt&+@=`Vn@kV-CL0RbC>G#?f8& zJ^uv$G2`cZin4LrgZuse@xQopivw Date: Thu, 15 Jul 2021 17:58:38 +0100 Subject: [PATCH 12/17] Add files via upload From c7250becd6bf7285ae3eb8295029f5a7e2c330c8 Mon Sep 17 00:00:00 2001 From: Ryan <46761112+Ryason@users.noreply.github.com> Date: Thu, 15 Jul 2021 18:01:38 +0100 Subject: [PATCH 13/17] Update README.md --- README.md | 23 +++++++++++++++++++++++ 1 file changed, 23 insertions(+) diff --git a/README.md b/README.md index 8ea9052..75969d0 100644 --- a/README.md +++ b/README.md @@ -32,6 +32,29 @@ DMC Image Converter is a tool used to create cross stitch patterns from images. - You can right click any grid cell to mark it red when you have stitched it (currently can't unmark). - Using the Save and Load buttons, you can save a pattern for loading if you need to close the program. --- +### About colour matching +The auto match colour feature gives the ability to generate a pallete of DMC thread colours using the colours that make up the original image. + +When using this you must trial different values of "colour uniqueness". This value determines how similar the auto matched colours are allowed to be. The larger the value, the more unique the colour palette becomes. + +This was implemented when realising that the first implementation only selected the top x amount of common colours. Which was an issue, as it severely reduced how varied the shades of colours in the palette was. For example, if converting an image of a large green field with a small amout of red flowers. The auto matched colours would include mostly greens, as this is the shade of colour that dominates the image. The palette would likely not have a shade of red, and the flowers would match to the closest possible colour (probably a shade of green). + +The following figures show how the colour uniqueness of the auto matched thread colours effects the outcome of a conversion. + +

Uniqueness of 1                                                 Uniqueness of 5
+ +Uniqueness of 1 Uniqueness of 5 + +
Uniqueness of 9                                                 Uniqueness of 14
+ +Uniqueness of 9 Uniqueness of 14 + +As shown, a default setting of 1 does not match some of the colours that only appear in small amounts. However, these colours that don't appear much are actually quite important in getting a decent conversion. As without them you lose a lot of the look that the original image had. + +You also have to be cautious of setting the value too high. As doing so can result in too large of a similarity gap, resulting in not being able to find enough dissimilar colours in the original image. You can see this in the last of the 4 images above. The uniqueness value is set to 14 and you can see, in the bottom left, that the palette count is only 8/454. Despite telling the program to match 15 colours. There are simply not enough unique colours in the image to comply with the set uniqueness value. + +--- + ### Features I Would Like To Add - Save and load previous conversions. As well as saving and loading of marked grid cells, to keep a users stitching progress. - Bigger floss selection. Such as brands of floss other than DMC. From d4ed5ffc86123fa535e4791d21c7296e5d30a96b Mon Sep 17 00:00:00 2001 From: Ryan <46761112+Ryason@users.noreply.github.com> Date: Thu, 15 Jul 2021 18:04:01 +0100 Subject: [PATCH 14/17] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 75969d0..bb2bdc5 100644 --- a/README.md +++ b/README.md @@ -43,11 +43,11 @@ The following figures show how the colour uniqueness of the auto matched thread
Uniqueness of 1                                                 Uniqueness of 5
-Uniqueness of 1 Uniqueness of 5 +Uniqueness of 1 Uniqueness of 5
Uniqueness of 9                                                 Uniqueness of 14
-Uniqueness of 9 Uniqueness of 14 +Uniqueness of 9 Uniqueness of 14 As shown, a default setting of 1 does not match some of the colours that only appear in small amounts. However, these colours that don't appear much are actually quite important in getting a decent conversion. As without them you lose a lot of the look that the original image had. 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zLTYPo!nX94xCb0c2P1(OH<$VuLNoRl@)%kODFXFbq8=FA?{uD0rk49!!Wvt9srUj_ zb0)?wQg#PkQh0t>A|^u{hqoF+*f6q2DsJP>XNY04*X!*N5{P$9RlCsH)JzB2Pf8?x zQoY5!Wlrc*NF=~IeUG9>PxIi&bLOkw&WfLbY!3Ig#bJ-o)xyyQ9z5Sf(4xC1Km%KELU8a?|EJ4nhKFrOAb3@7L3d zuS}p*W`WmN*^f_IU!M8G+T#0&)3Toudv*85r?PkQ-k9WL{UkiG5=MvRd6&~$3aqPg znO`vuD3LSs<~s(^$1@g;uv*wZEsPjXTycDiKIARScWjYm;tw_}Y|Z^ck>&xf3BfD7 hXsKh&rrT!Ti+hflM1mi@Z18WvOACL0aDIIDzX8mtn~neg literal 0 HcmV?d00001 From 786b63345e3b95d354961399281d18719aa83378 Mon Sep 17 00:00:00 2001 From: Ryan <46761112+Ryason@users.noreply.github.com> Date: Thu, 15 Jul 2021 18:11:02 +0100 Subject: [PATCH 16/17] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index bb2bdc5..dfa2d3a 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ ### About DMC Image Converter is a tool used to create cross stitch patterns from images. --- -![Converter Screenshot](./Images/uniqueness9.PNG) +![Converter Screenshot](./Images/DisplayImage.PNG) ### Current Features - Load an image and have it converted into a pattern for cross stitching with DMC floss. - Automatic selection of best DMC threads to use, as well as user specified. From 60a591c0a55bec24b42d28446c3e72f32a265048 Mon Sep 17 00:00:00 2001 From: Ryan <46761112+Ryason@users.noreply.github.com> Date: Thu, 15 Jul 2021 18:14:50 +0100 Subject: [PATCH 17/17] Update README.md --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index dfa2d3a..0be4ab9 100644 --- a/README.md +++ b/README.md @@ -33,11 +33,11 @@ DMC Image Converter is a tool used to create cross stitch patterns from images. - Using the Save and Load buttons, you can save a pattern for loading if you need to close the program. --- ### About colour matching -The auto match colour feature gives the ability to generate a pallete of DMC thread colours using the colours that make up the original image. +The auto match colour feature gives the ability to generate a palette of DMC thread colours using the colours that make up the original image. When using this you must trial different values of "colour uniqueness". This value determines how similar the auto matched colours are allowed to be. The larger the value, the more unique the colour palette becomes. -This was implemented when realising that the first implementation only selected the top x amount of common colours. Which was an issue, as it severely reduced how varied the shades of colours in the palette was. For example, if converting an image of a large green field with a small amout of red flowers. The auto matched colours would include mostly greens, as this is the shade of colour that dominates the image. The palette would likely not have a shade of red, and the flowers would match to the closest possible colour (probably a shade of green). +This was implemented upon realising that the first implementation only selected the top x amount of common colours. Which was an issue, as it severely reduced how varied the shades of colours in the palette were. For example, if converting an image of a large green field with a small amout of red flowers. The auto matched colours would include mostly greens, as this is the shade of colour that dominates the image. The palette would likely not have a shade of red, and the flowers would match to the closest possible colour (probably a shade of green). The following figures show how the colour uniqueness of the auto matched thread colours effects the outcome of a conversion. @@ -51,7 +51,7 @@ The following figures show how the colour uniqueness of the auto matched thread As shown, a default setting of 1 does not match some of the colours that only appear in small amounts. However, these colours that don't appear much are actually quite important in getting a decent conversion. As without them you lose a lot of the look that the original image had. -You also have to be cautious of setting the value too high. As doing so can result in too large of a similarity gap, resulting in not being able to find enough dissimilar colours in the original image. You can see this in the last of the 4 images above. The uniqueness value is set to 14 and you can see, in the bottom left, that the palette count is only 8/454. Despite telling the program to match 15 colours. There are simply not enough unique colours in the image to comply with the set uniqueness value. +You also have to be cautious of setting the value too high. As doing so can result in too large of a similarity gap, resulting in not being able to find enough dissimilar colours in the original image. You can see this in the last of the 4 images above. The uniqueness value is set to 14 and you can see, in the bottom left, that the palette count is only 8/454. Despite telling the program to match 15 colours. There are simply not enough unique colours in the image to comply with the set uniqueness value. Meaning the value needs to be reduced in order to get the desired number of matched colours. ---

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