3 ms·
Love the hackiness of this - however, the vision framework is available on Desktop macs as well - https://developer.apple.com/documentation/vision https://devel
by iamflimflam1 4y ago
Love the hackiness of this - however, the vision framework is available on Desktop macs as well - https://developer.apple.com/documentation/vision https://developer.apple.com/documentation/vision
and specifically:
https://developer.apple.com/documentation/vision/vnrecognizetextrequest https://developer.apple.com/documentation/vision/vnrecognize...
- price456987 4y agoWhat's the cost of building and running a cluster of iPhones vs Mac Minis?
- pronoiac 4y agoThere's ocrit, a CLI utility using Apple's Vision framework for OCR: https://github.com/insidegui/ocrit https://github.com/insidegui/ocrit
- cassiogo 4y ago> My preliminary speed tests were fairly slow on my Macbook. However, once I deployed the app to an actual iPhone the speed of OCR was extremely promising (possibly due to the Vision framework using the GPU). I was then able to perform extremely accurate OCR on thousands of images in no time at all, even on the budget iPhone models like the 2nd gen SE. He does mention running it on a macbook
- dblitt 4y agoI would assume he's using an intel macbook and wouldn't have the gpu acceleration (and subsequent Vision framework integration) of the m1
- msdrigg 4y agoI would guess that tests in this sentence refers to tests of the iOS app on the simulator. Which would be slow expectedly
- baggachipz 4y agoI would think it would run well on a M1/M2 Mac as a native app though, right?
- gganley 4y agoThat was my question as well. I'm wondering how much of a performance benefit the neural engine has on M series chips when compared to intel chips.