(Part 2) Best products from r/computervision

We found 21 comments on r/computervision discussing the most recommended products. We ran sentiment analysis on each of these comments to determine how redditors feel about different products. We found 40 products and ranked them based on the amount of positive reactions they received. Here are the products ranked 21-40. You can also go back to the previous section.

37. Build Deeper: The Path to Deep Learning

    Features:
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  • ✍【7 CUSTOMIZABLE SHORTCUT KEYS & A SCROLL WHEEL】 -- All keys in the graphic tablets for drawing can be customized according to your demand; Scroll Wheel for brush/canvas zoom in/out and mouse wheel up/down.
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Build Deeper: The Path to Deep Learning
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Top comments mentioning products on r/computervision:

u/ToCommit · 2 pointsr/computervision

a quick search on Amazon:

https://www.amazon.com/dp/B07VQWXGSQ/

Whether the claims are true or not, you'll have to test

u/theobromus · 1 pointr/computervision

Well, the point of stereo cameras is to have overlapping fields of view, so you can track points from multiple viewpoints at the same time (which lets you estimate their depth).

But certainly there are inside-out tracking devices that use a pair of fisheye cameras (e.g. https://www.amazon.com/Daydream-Standalone-Worldsense-Tracking-Ultra-Crisp-Designed/dp/B0793R2Q23/ref=sr_1_1?ie=UTF8&qid=1525242245&sr=8-1&keywords=mirage+solo)

u/245_points · 1 pointr/computervision

I learned everything from this book http://www.amazon.com/Learning-OpenCV-Computer-Vision-Library/dp/0596516134 (which might be a little outdated by now). And yes, the inter-occular range is dependent on the range you want to measure. Wider separation gives you better depth accuracy, but also can require increasing the amount of image that is searched over ("max_disparities") that can slow things down, so it's a balance. The cameras should be roughly parallel and the calibration process will determine their exact orientation in order to process the images properly.

u/informatician · 1 pointr/computervision

Do you need the "dummy" stickers in particular or would something similar work, like target stickers?

u/PerfectlyStill · 2 pointsr/computervision

The first thing that came to mind when I read your thread title..

You could use a Radar Gun & motion detection setup off of a RPi which would then trigger a USB servo controller motor that would be jerry rigged with some duct tape to the radar gun, activating the speed test. In the same webcam frame that's detecting motion, the feed would capture the speed test output, convert it to text and log the data off of the LCD with time stamp and snap shot of the car! I'm half joking.. but I think it could work :)

u/deliverator_011 · 1 pointr/computervision

We used this one for a computer vision class I took last winter Trucco & Verri

u/csp256 · 9 pointsr/computervision

Learn as much linear algebra as possible.

Read Prince's computer vision book every day.

Make the switch to C++ as early as possible, or earlier.

u/rejser · 2 pointsr/computervision

You can get the book from Amazon. However, development of the SDK has been discontinued. It seems like you can still download a single copy for non-commercial use, but according to The Pragmatic Programmers the library will be unavailable after 12/21/2010 due to licensing restrictions.

TL;DR: Get another SDK.

u/ivorjawa · 2 pointsr/computervision

http://www.amazon.com/Making-Things-See-Processing-MakerBot/dp/1449307078

It's processing, not OpenCV-based, but it's entirely built around the kinect.

u/Zebriah · 1 pointr/computervision

Another thought I'm having is would it be possible to use a reference library for comparing and counting? example: I have a library of a few hundred edge shots of glass and it compares likeness and creates a count for each likeness in an image or video? the camera I plan to use is this one that can shoot 720p at 180fps. This should reduce motion blur and I would only use every 7th frame to be about 24fps extraction. Accuracy is the most important thing. But the whole time frame for processing and counting shouldn't exceed 45secs. Best would be under 15sec. Is this wishful thinking?

u/alkasm · 2 pointsr/computervision

It's not a particularly loved book: https://amazon.com/Computer-Vision-Approach-David-Forsyth-ebook/product-reviews/B006Y10996/ref=cm_cr_dp_d_show_all_btm?ie=UTF8&reviewerType=all_reviews

To compare, it has 50% 1 star reviews. Szeliski has 50% 5 star reviews. Hartley & Zisserman has 75% 5 star. I mean it's just Amazon of course, not expecting fantastic academic book reviews, but this isn't the first time I've seen Forsyth & Ponce lamented in this subreddit. I haven't read it myself. But it seems more broadly it isn't the most loved CV book.