- #Topaz gigapixel ai for mac install
- #Topaz gigapixel ai for mac software
- #Topaz gigapixel ai for mac trial
- #Topaz gigapixel ai for mac mac
DPI metadata tag is being set to 72 when the application was set to resize by scale or by width/height using pixels. #Topaz gigapixel ai for mac install
The Application may fail to install or run when folder or file names contain non-latin characters. Windows - For displays that use a high scale (to increase the size of text on high resolution displays), the product tour may become impossible to close. The “Original” and “Preview” labels in the preview panel will disappear if the mouse cursor is placed over them allowing those parts of the image to be displayed. The “Scaling”, “Output”, and “File Format” sections in the right panel can now be collapsed. When the progress bar reaches completion for a file, it will no longer be displayed continuously. The icon to display the preview of the input or output file has been replaced with a hyperlink that displays the path and name of the file. #Topaz gigapixel ai for mac trial
The application version and the number of days remaining in a trial (if the application is in trial mode) are now displayed in the top toolbar instead of the application title bar. An overlay with an icon is displayed over the input thumbnail to indicate that it can be clicked to view the original file outside of the application. When processing files, the current percentage of completion is displayed on the right side of the output item box. When processing files, the number of files being processed will be displayed on the title bar so that progress can be tracked even when the application is minimized. When processing files, the number of files being processed will be displayed in the wait message. When a file type is not supported, a message is displayed to the user. Fixed issue that would only allow batch processing up to 508 images. Updated model for slightly more natural looking output. Fix crash on export with TIFF files caused by metadata issue. Face Refinement will detect small faces (16x16px - 64圆4px) and apply targeted improved upsampling. Toggle in right panel to enable and disable Face Refinement. changed output file name extension to -gigapixel. Thus, the first image will take longer time than usual. The benchmark will only be triggered once when you process the first image. Gigapixel will automatically run a benchmark and choose the best advanced preferences settings for you to achieve the highest speed on your computer. 
Automatic detection for the best devices choice: Now you do not have to choose between GPU/CPU or enable/disable Intel optimization manually. However, if you have relatively better Intel CPUs or Intel iGPUs than low performance GPU, you will see faster performance on Intel optimization (Yes) option. If you still have very high performance desktop GPUs (e.g., NVIDIA 1080), “Enable dedicated GPU” (Yes) option will be the best choice. But we cannot guarantee if it can work for CPUs from other vendors (e.g., AMD) or any Intel CPUs before 5th generation. 
Typically, it will make Gigapixel run *3-5 times faster*than the previous “CPU” mode.
If you choose “Yes”, it will optimize 6th-10th generation Intel CPUs and Intel iGPUs for Gigapixel.
Intel devices optimization: Now a new option “Intel optimization” is in advanced preferences. Users can enable it manually by clicking the "Reset" button. Refined crashes due to Intel Optimization (OpenVino). Now whenever Gigapixel AI crashes due to Intel Optimization, it will remember it and disable the Intel Optimization setting in advanced preference. Fixed the launching failure issue. Now Gigapixel AI can launch correctly on computers with CPUs before Intel 6th generation. Refined the advanced preference information. #Topaz gigapixel ai for mac mac
Fixed issue causing Gigapixel to not launch for some Mac users.Fixed metadata issue causing jpeg and tiff to display with wrong PPI.
#Topaz gigapixel ai for mac software
Fixed Error 99 when checking for software updates.Updated authentication to better handle firewalls.
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