Revert "Upgrade to go 1.19 and update dependencies (#3069)" (#3085)

This reverts commit bba7c23957.
This commit is contained in:
WithoutPants
2022-11-07 12:33:15 +11:00
committed by GitHub
parent bba7c23957
commit 2609095c7a
939 changed files with 43785 additions and 101302 deletions

View File

@@ -1,8 +1,10 @@
language: go
go:
- "1.7.x"
- "1.8.x"
- "1.9.x"
- "1.10.x"
- "1.11.x"
- "1.12.x"
before_install:
- go get github.com/mattn/goveralls

View File

@@ -129,35 +129,6 @@ Original image | Saturation = 30
-----------------------------------|----------------------------------------------|---------------------------------------------
![srcImage](testdata/flowers_small.png) | ![dstImage](testdata/out_saturation_p30.png) | ![dstImage](testdata/out_saturation_m30.png)
## FAQ
### Incorrect image orientation after processing (e.g. an image appears rotated after resizing)
Most probably, the given image contains the EXIF orientation tag.
The stadard `image/*` packages do not support loading and saving
this kind of information. To fix the issue, try opening images with
the `AutoOrientation` decode option. If this option is set to `true`,
the image orientation is changed after decoding, according to the
orientation tag (if present). Here's the example:
```go
img, err := imaging.Open("test.jpg", imaging.AutoOrientation(true))
```
### What's the difference between `imaging` and `gift` packages?
[imaging](https://github.com/disintegration/imaging)
is designed to be a lightweight and simple image manipulation package.
It provides basic image processing functions and a few helper functions
such as `Open` and `Save`. It consistently returns *image.NRGBA image
type (8 bits per channel, RGBA).
[gift](https://github.com/disintegration/gift)
supports more advanced image processing, for example, sRGB/Linear color
space conversions. It also supports different output image types
(e.g. 16 bits per channel) and provides easy-to-use API for chaining
multiple processing steps together.
## Example code
```go

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@@ -91,12 +91,11 @@ func AdjustContrast(img image.Image, percentage float64) *image.NRGBA {
v := (100.0 + percentage) / 100.0
for i := 0; i < 256; i++ {
switch {
case 0 <= v && v <= 1:
if 0 <= v && v <= 1 {
lut[i] = clamp((0.5 + (float64(i)/255.0-0.5)*v) * 255.0)
case 1 < v && v < 2:
} else if 1 < v && v < 2 {
lut[i] = clamp((0.5 + (float64(i)/255.0-0.5)*(1/(2.0-v))) * 255.0)
default:
} else {
lut[i] = uint8(float64(i)/255.0+0.5) * 255
}
}