Grind is a 2003 American skateboarding comedy film directed by Casey La Scala, and written by record producer Ralph Sall, who also composed the score. The film stars Mike Vogel, Vince Vieluf, Adam Brody and Joey Kern as four teenage aspiring amateur skaters trying to make it in the world of pro skateboarding by pulling insane stunts in front of their pro skater idol. It was critically panned and flopped at the box office.
After recruiting laid-back ladies man "Sweet" Lou Singer to join their crew and provide the van for their tour, team Super Duper launches the ride of their lives in an outrageous road trip from Chicago to Santa Monica. The professional scene doesn't exactly welcome nobody, but these outsiders stick together through extreme misadventures. In their quest to go pro, they meet professional vert skating champions Bucky Lasek, Bob Burnquist and Pierre Luc Gagnon, skate pro Bam Margera and his crew Preston Lacy, Ehren Danger McGhehey and Jason Wee Man Acua, as well as sexy skate chick Jamie as they grind handrails across America and force the skateboarding world to give 'em a piece of the action.[2]
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The film received generally negative reviews from critics. Review aggregator Rotten Tomatoes gives the film an 8% based on 74 reviews, with an average score of 3.1/10. The site's consensus states: "Mediocre skateboard stunts are padded by a half-baked plot and one-dimensional characters."[3] Metacritic gave it an average score of 30 out of 100 based on reviews from 24 critics, indicating "generally unfavorable reviews".[4]
[Edit April 25 2019: Please note this is not an iPhone or Android app, and I have no plans to release it as such. You can use your phone or any other camera to take pictures of your ground coffee, but then you need to install the application on either OS X or through Python (on any operating system) to analyze the data. Download the application package here.]
Today I would like to present an OS X application I have been developing for a few months. It turns out writing Python software for coffee is a great way to relax after a day of writing Python software for astrophysics.
When I started being interested in brewing specialty coffee a few years ago, one of the first things that irritated me was our inability to recommend grind sizes for different coffee brewing methods, or to compare the quality of different grinders in an objective way. Sure, some laboratories have laser diffraction equipment that can measure the size of all particles coming out of a grinder, but rare are the coffee geeks that have access to these multi-hundred thousands of dollars kinds of equipment.
If you would like to get started, I suggest you read this quick installation guide, which will explain how to download the app and run it even though I am not a registered Apple Developer. Then, you can choose to either read this quick summary that will get you running with the basics, or this very detailed and wordy user manual that will guide you through all the detailed options the application offers you.
I would like to show you an example of what can be done with the software. Below, I am comparing the particle size distribution of the Baratza Fort grinder, which uses 54 mm flat steel burrs, with that of the Lido 3 hand grinder, which uses 48 mm conical steel burrs. I set both grinders in a way that produces a similar peak of average-sized particles with diameters around 1 mm, but as you can see, the particle size distributions are very different ! The Fort generates way less fines (with diameters below 0.5 mm) and slightly less boulders (with diameters of approximately 2 mm), which is indicative of a better quality grinder.
For now, the app is only intended to be used on OS X computers. But if you are running any other kind of system and know your way around Python, you can always download it directly from GitHub and run it with your own installation of Python 3.
I would like to thank Scott Rao for his excitement when I shared this project idea with him, and for beta testing the software. I would also like to thank Alex Levitt, Mitch Hale, Caleb Fischer, Francisco Quijano and Victor Malherbe for beta testing the software.
One tip: using a phone with an all-white image works as a very low cost light table for photographing baskets. I think that might work well as a cheap light table for photographing coffee grounds too.
The next version will include error bars based on small-number statistics (Poisson errors) because this is the #1 limitation of this software. It will also include the ability to merge many images to get smaller errors.
Very interseting, thank you for your work and sharing.
I find it hard, to isolate small from big particles. When I use a cheap USB microscope, i see the fines (e.g. 50m diameter) clinging to the lager particles (e.g. 500m diameter). I would appreciate methods to isolate these.
Thanks for the insight and contribution and looking forward to learn more with the Andriod studio and the enumelator software but my question is psd is directly affected by the temperature ? of the burrs ,Does this affect the sensory result for the lido and fonte
What a very nice piece of software for a grinder geek ? Thank you very much for sharing it. Is it hard to run on PC? I have no experience with python at all, or any other coding experience, but I would really like to use it as it would help me so much in my handgrinder collection analysis.
Yes, having many cameras would allow to truly resolve the 3D shape, a bit like some 3D scanners do, but this would be even harder. Doing real time data analysis would be possible, but then it becomes very hard to separate clumps of particles.
Very nice. One practical piece of this info could help with is to know when exactly change grinder burrs as you track grind size distribution change over time. Other possible grinder maintenance as well, like motors or misalignments when compared to a target measurement from a new grinder. Good job, this is cool.
It would be interesting if there was a way to export an image shot in Portrait mode on an iPhone that has dual cameras. They clearly have depth information to support their ability to adjust the pseudo depth-of-focus, it would be interesting to leverage that somehow!
Hi Mike. I can have a look at it, I should be able to get the depth data out. But I dont think it will be of any use for this tast, as I dont think there is much quality and depth resolution (if the data has enough resolution to separate subject foreground and background, it still probably does not have enough resolution for sub milimeter particles :))
I have been trying to sprinkle the coffee above a paper sheet, but this did not work for me. I guess the reason is that I am interested in espresso grind, so the particles are small and form clusters easily. Seems that rubbing the coffee between fingers makes even more clusters. Have done any good measurements of espresso grinds?
Getting a sufficient distribution of coffee grounds seems to be a challenge for using your software. So far, I have had the best luck using vibration to distribute grounds with minimum clustering. I am no scientist, but it does have me wondering if grounds distribution could be improved with a Chladni plate?
Hi Jonathan,
great site and description of you app! Found it through James Hoffmann too.
Wanted to install it on my mac, but the installation always crashes before it really begins. Might it be an issue with Big Sur?
Cheers and thanks for your help
Nik
I added a DMG for a version that will run native on Apple Silicon Macs running Monterey (12.x) or higher. Since this app is pretty computationally intensive, it is noticeably faster than running the Intel version via Rosetta. Particle detection for one example I tried completes in 16 seconds versus 29 seconds for the Intel/Rosetta version.
Mahlknig Sync is a digital solution serving as a comprehensive hub for gathering and analyzing data across the coffee preparation process. From equipment usage and consumption patterns to predictive and preventative grinder maintenance insights - owners, managers, and roasters can make informed decisions about their business.
The mobile app allows for easy pairing of the grinder to the machine for synchronized grind-brew events and shows the relevant statistics. The desktop app enables users to view grinder-specific and aggregated operational data and consumption trends through a reporting dashboard. Managers can define and control coffee recipes per grinder with an automatic rollout of updated recipes. Both apps allow for remote and local data access.
*Depends on the grinding goods and the chosen degree of fineness.
All measured values under laboratory conditions. Other electric specifications available on request. Subject to change without prior notice.
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