real-time-super-resolution's Introduction

Yo, welcome to the 🧠 BrainBust universe.

Hi there , I am Rishik, and I feel most alive 😃 in those 10 seconds 🕐, that go through me running that code and seeing the loss converge 📉.

👉🏻👈🏻🥺 Who am I?	💗 Things I love
💻 I'm a Full Stack 🤖 ML Engineer and 🌎 Web Developer.	🎶🎶 in background.
👷‍♂️ Working full time with a startup ⭐ SkylarkLabs.ai, where I have developed and deployed 5 products to far.	💯% filling VRAM.
🏆 Won Covid ML Hackathon with 1st rank in my college.	🍔 Double cheeseburger.
🌐 You can check out my website, 🔨 built with Angular and Django.	🥤 Chilled soda.
📺 I'm the creator of BrainBust Youtube channel. I don't like that subscribe button either, so destroy it, kill it, suck its life out 👻.	🎹 Playing Piano.
📰 Working on my very first research publication.	😗 Whistling favourite songs.
🔠 Currently mastering NLP.	🏡 And home sweet home.

👨🏻‍🏫 # Technical Skills

🤖 Machine Learning / Deep Learning	🏭 Backend	🌄 Frontend

📝 # Written Articles

🔨 # Deployed Projects

Facial Landmarks Detection	Fake Anime Generation

Watermark Removal	Violence Detection

Lie Detection	Night 2 Day

📊 # Profile Stats

Wubba lubba dub dub!!! You made it to the end!!!

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real-time-super-resolution's Issues

Does the model expects a specific image size?

Hey there!

Can't wait to try out the model. I couldn't find the expected image input size, would love some help.

Thanks!

Layer expects 60 weight(s). Received 62 saved weight(s)

Hello,

I am trying to run this project, but I can't. I am currently getting this, when I run inference.py:

Traceback (most recent call last):
File "/home/lasse/Real-Time-Super-Resolution/inference.py", line 6, in
generator.load_weights('weights/GeneratorVG4(1520).h5')
File "/home/lasse/.local/lib/python3.10/site-packages/keras/src/utils/traceback_utils.py", line 122, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/home/lasse/.local/lib/python3.10/site-packages/keras/src/legacy/saving/legacy_h5_format.py", line 369, in load_weights_from_hdf5_group
raise ValueError(
ValueError: Weight count mismatch for layer #2 (named rrd_block in the current model, rrd_block in the save file). Layer expects 60 weight(s). Received 62 saved weight(s)

Access the pre-trained model

Hey! Love the paper. Can you share the pre-trained model? :)

Thanks!

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braindotai / real-time-super-resolution Goto Github PK

real-time-super-resolution's Introduction

Yo, welcome to the 🧠 BrainBust universe.

Hi there , I am Rishik, and I feel most alive 😃 in those 10 seconds 🕐, that go through me running that code and seeing the loss converge 📉.

👉🏻👈🏻🥺 Who am I?

💗 Things I love

👨🏻‍🏫 # Technical Skills

🤖 Machine Learning / Deep Learning

🏭 Backend

🌄 Frontend