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In config/training/default.yaml file the batch_size is defined as 52. In general, the batch_size value will be power of 2. For example 8, 16, 32, 64, 128 so on. training: batch_size:...

Bad results by the pre-trained model when tested on an unseen image

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Hello, I run the "Try-On" task inference with the pre-trained model on the following image which is not in the dataset.  As you can see the below output generated...

While executing the notebook Stock_NeurIPS2018_2_Train.ipynb the following line is causing an exception model_a2c = agent.get_model("a2c") [/usr/local/lib/python3.10/dist-packages/stable_baselines3/common/base_class.py](https://localhost:8080/#) in __init__(self, policy, env, learning_rate, policy_kwargs, tensorboard_log, verbose, device, support_multi_env, monitor_wrapper, seed, use_sde, sde_sample_freq,...

Python built-in function for extracting the cloth's edge image

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Hello, What is the built-in function you have used for extracting the cloth's edge image ? https://github.com/SenHe/Flow-Style-VTON/blob/ed25d525a53fadaf3ea794d0beb6affbb75f8160/test/test.py#L75 Thanks, Surendra

Multivariate time series data

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How to pre-train the lag-llama model with multivariate time series data? For example: num_time_steps = 300 data = [ { "start": pd.Timestamp("2020-01-01", freq="D"), "target": np.random.randn(2, num_time_steps), # Two fields: temperature...