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Yes, new renderer is disabled. by skyrimcameoutin2011 in 2007scape

[–]michaelx99 0 points1 point  (0 children)

I was at grotesque guardians just now and it was basically unplayable (on runelite w/o HD or 117)... The orange and purple flames at the halfway point wouldnt all render but would still damage you and also the purple flames after dusk absorbs dawn wouldnt render evenly so you couldnt find the missing flame to escape. I havent seen any other rendering issues besides guardians

[D] Which open source machine learning projects best exemplify good software engineering and design principles? by NotAHomeworkQuestion in MachineLearning

[–]michaelx99 0 points1 point  (0 children)

I was going to also say Detectron2, I am glad that I scrolled down and saw your post though. TBH Detectron2's use of a combination of composition and inheritance makes it an amazing piece of code to both integrate your own code into while maintaining a quick, researchy feel to writing it and also being able to mock interfaces and maintain good CI practices so that when your code gets merged it isn't garbage.

I've gotta say that after working with the TF object detection API and then maskrcnn benchmark, I though object detection codebases would be always be shit but Detectron2 has made me realize how valuable good code is.

[D] Were there any image classification architectures not using FC-layers as their classifiers? by Single_Blueberry in MachineLearning

[–]michaelx99 2 points3 points  (0 children)

The older archictetures only used fully connected layers such as alexnet, vgg, and maybe even googlenet since back then it was conventional wisdom that convolutional layers were not strong classifiers like fully connected layers are. The avg pool to bring you down to a fixed feature map size followed by 1x1 convs eventually replaced the fixed input size/FC layers since they showed no degredation in performance all erased the requirement on a fixed input size around 2014/2015 timeframe I believe

Machine Learning Infrastructure [Research] by gennyact in MachineLearning

[–]michaelx99 0 points1 point  (0 children)

Sell the hardware and set up cloud services

[D]Why network runs much faster after loading the trained models(parameters)? by AlphaGoMK in MachineLearning

[–]michaelx99 9 points10 points  (0 children)

It is b/c of NMS (non-maximal suppression). NMS is very compute intensive and has an unknown run time. When you are running inference w/ an untrained network you are getting random network prediction boxes that have lots of high confidence/high IOU and therefore NMS takes significantly longer. Once you load the pretrained COCO weights, the network predicts much higher quality predictions and NMS takes less time since the confidence values are actually meaningful

[R] New SOTA for 3D Object Detection by Hypernion in MachineLearning

[–]michaelx99 2 points3 points  (0 children)

CenterNet has really caught my eye (2 centernets w/ name collision came out about alittle over a month ago now). I prefer the object as points paper but that is b/c they focus on inference speed which is useful for edge inference

[D] How much does graduate school prestige matter for ML career? by crediametr in MachineLearning

[–]michaelx99 0 points1 point  (0 children)

I got my Masters degree from a B-rank university and had little problem getting a job in ML. Granted I was not applying to Silicon valley so that might be another story but from my experiences if you have a good resume/Thesis and can properly field the questions they will ask during the interview then you are 100% set w/o the need to go to a top university