1. Useful Links

 

• iOS Free Game Engine

 

1. Sparrow (http://gamua.com/sparrow/)

2. Coscos2D (http://www.cocos2d-iphone.org/)

 

 

• Free Graphics Design Tools

 

1. GIMP (http://www.gimp.org)

2. Blender 3D (http://www.blender.org)

 

• Physic Engine

 

1. Box2D (http://box2d.org)

2. Bullet Physic (http://bulletphysics.org/wordpress/)

 

• Marketing Strategy

 

1. The Big List of Indie Game Marketing (http://www.pixelprospector.com/the-big-list-of-indie-game-marketing/)

 

• Press Release Distribution (PR)

 

1. 20+ Free Press Release Distribution Sites (http://mashable.com/2007/10/19/press-releases/)

2. prMac (http://www.prmac.com) - Most economical PR services

3. iSpreadnews (http://www.ispreadnews.com) - Multi-languages supported

 

• Blender 3D

 

1. Transparent Texture (http://bencrowder.net/art/blender-quicktips/transparent-textures/)

 

 

2. How to make the gameplay (Mac Only)

 

Step 1 - Install the audio loop back driver, such as "Soundflower" (Optional)

Step 2 - Run the App on the emulator and don't forget to enable the mouse cursor option.

Step 3 - Launch the "QuickTime player" and find the "New Screen recording" under the "File" menu item

Step 4 - Select the region on screen that you are going to record

Step 5 - Add back the sound effects, edit the length and fine turn the screen cast by using the iMovie

 

Example: "The chinese five elements" game play (http://youtu.be/7nb4p6X27cY)

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3. Windows Subsystem for Linux

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https://docs.microsoft.com/en-us/windows/wsl/install-win10

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4. Hyperledger fabric 

 

Basic

• https://www.ibm.com/blockchain/nl-nl/hyperledger.html

• https://www.hyperledger.org/news/2019/02/19/2-14-2019-bitcoin-exchange-guide-samsung-sds-reveals-blockchain-tech-nexledger-accelerator-passes-hyperledger-fabric-testing

Accelerator

• https://image.samsungsds.com/us/en/insights/res/__icsFiles/afieldfile/2019/02/21/Blockchain-White-Paper-Accelerating-Throughput-in-Permissioned-Blockchain-Networks.pdf?queryString=20190307013920 

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5. AI

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        Train DeepLab v3 + with your own dataset (Tensorflow)

https://rockyshikoku.medium.com/train-deeplab-v3-with-your-own-dataset-13f2af958a75

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 Converting a PyTorch Segmentation Model 

https://coremltools.readme.io/docs/pytorch-conversion-examples

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LabelMe

https://github.com/labelmeai/labelme

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Training a model with Create ML

https://www.hackingwithswift.com/books/ios-swiftui/training-a-model-with-create-ml

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DeepLab: Deep Labelling for Semantic Image Segmentation

https://github.com/tensorflow/models/tree/master/research/deeplab

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Semantic Segmentation using PyTorch DeepLabV3 ResNet50

https://debuggercafe.com/semantic-segmentation-using-pytorch-deeplabv3-resnet50/

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Transfer Learning for Segmentation Using DeepLabv3 in PyTorch

https://expoundai.wordpress.com/2019/08/30/transfer-learning-for-segmentation-using-deeplabv3-in-pytorch/

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Transfer Learning for Semantic Segmentation using PyTorch DeepLab v3

https://github.com/msminhas93/DeepLabv3FineTuning

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Jupyter Notebook

https://jupyter.org/

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Core ML Models

https://developer.apple.com/machine-learning/models/

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Data labeling Tools

https://neptune.ai/blog/data-labeling-software

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Image Super Resolution CNN

https://debuggercafe.com/image-super-resolution-using-srcnn-and-pytorch/

https://github.com/Lornatang/SRCNN-PyTorch/blob/main/README.md

https://github.com/yjn870/SRCNN-pytorch/blob/master/train.py

https://github.com/DeNA/SRCNNKit

https://github.com/onnx/models/tree/main/validated/vision/super_resolution/sub_pixel_cnn_2016

https://github.com/john-rocky/CoreML-Models?tab=readme-ov-file#mirnetv2

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6. Misc.

 

6.1 Google Web Risk API - Look-up (https://cloud.google.com/web-risk/docs/lookup-api)

6.2 Free SSL Cert. - https://letsencrypt.org/

6.3 Python script to renew Let's Encrypt SSL cert: https://github.com/diafygi/acme-tiny

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