Q3: Is there special requirements for the floor?Ī: there are no special requirements, we can make the playground according the floor conditions. Q2:Can we assemble it by ourselves? Is it hard to install it?Ī:yes, you can assemble it, it is very easy, all the connects already in the right place, you just need to loosen the screws ,connected the deck and pipes first, then assemble other parts. Q1:If I do not like the color, can you change it?Ī: Sure, we can modify the color or size according you like, then produce according the modify design Pre-school,amusement park,garden,shopping mall,public places etc.Įach outdoor playground has its characteristic and their sizes are all different, if you haven't find the right size for you, please tell us your size, we can design it according to your requirements. S-Slide,double slide,platforms,roof,safe panels,stairs,climber etc. Professional CAD instruction,assembly procedure and project caseģ)Professional designer will design for you freely.Ĥ)All new material produced will not add any recycling of plastic. Packed with bubble bag, pp film and cotton. (Different material is available at your demand) Most of the failure cases were from the very off-nadir images due to low quality.1)Plastic parts:LLDPE (Linear Low Density Polyethylene)ģ)Post: Galvanized steel pipe with normal thickness 2.0mmĤ)Deck,stair:Steel plate,plastic powder coated or PVC coated Submit score could change dramatically just by setting up another threshold. There were a bunch of other ideas/heuristics I wanted to try, such as outer datasets, processing occluded houses, ensembling and so on, but got no time for all experiments. Probably, my model has been overfitting, because fast lr decay improved the score. Starting from high values learning rate is gradually decreasing under certain condition(loss plateau, for example).
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