![]() Trouble is if I sell/close down the rides I'll go back to an old issue I had of nobody walking down into the zoo to see everything. I think I've probably overestimated how much 1 shop can handle I suppose, and made the lines for them too small Happiness is generally speaking all green, dips a bit here and there but I counter things when it does (more education speakers/boards, more benches, shopping etc). Then there was an update and that was the start of the downfall that I've not been able to get out of. Yeah I had like 800k saved at one point, and going up. It seems you expanded quite fast with that zoo, I like to take some time after every expansion to wait for any problems that might occur, like missing needs etc.Īnd for those double toilets, I noticed one of the two was never used so I stopped building them and replaced the old ones with two singles. And how did you get so many refunds? How's your guest happiness and education level? (did you check for overlapping educational speakers?) DistributedDataParallel (DDP) FrameworkÄownloading /root/.mxnet/models/alpha_pose_resnet101_v1b_coco-de56b871.zip from. Computing FLOPS, latency and fps of a model ![]() ![]() Extracting video features from pre-trained models Fine-tuning SOTA video models on your own dataset ![]() Getting Started with Pre-trained I3D Models on Kinetcis400 Distributed training of deep video models Train classifier or detector with HPO using GluonCV Auto task Train Image Classification with Auto Estimator Load web datasets with GluonCV Auto Module Prepare your dataset in ImageRecord format.Prepare the 20BN-something-something Dataset V2.Prepare custom datasets for object detection.Testing PoseNet from image sequences with pre-trained Monodepth2 Pose models Predict depth from an image sequence or a video with pre-trained Monodepth2 models Predict depth from a single image with pre-trained Monodepth2 models Multiple object tracking with pre-trained SMOT models Single object tracking with pre-trained SiamRPN models Inference on your own videos using pre-trained models Dive Deep into Training SlowFast mdoels on Kinetcis400 Getting Started with Pre-trained SlowFast Models on Kinetcis400 Dive Deep into Training I3D mdoels on Kinetcis400 Dive Deep into Training TSN mdoels on UCF101 Introducing Decord: an efficient video reader Getting Started with Pre-trained TSN Models on UCF101 Dive deep into Training a Simple Pose Model on COCO Keypoints Predict with pre-trained AlphaPose Estimation models Predict with pre-trained Simple Pose Estimation models Test with ICNet Pre-trained Models for Multi-Human Parsing Getting Started with FCN Pre-trained Models Predict with pre-trained Mask RCNN models Run an object detection model on NVIDIA Jetson module Predict with pre-trained CenterNet models Skip Finetuning by reusing part of pre-trained model Run an object detection model on your webcam Train Faster-RCNN end-to-end on PASCAL VOC Deep dive into SSD training: 3 tips to boost performance Predict with pre-trained Faster RCNN models Transfer Learning with Your Own Image Dataset Getting Started with Pre-trained Models on ImageNet Getting Started with Pre-trained Model on CIFAR10
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |