llm:
    model: 'TaylorAI/bge-micro-v2' # See Paper Sec. 3.2 and Appendix
    model_dim: 384
    embd_dim: 256
    nclasses: 7 # noise, blur, rain, haze, lol, enhancement, upsampling (Paper Sec. 4.3)
    weights: False

model:
    arch: "instructir"
    use_text: True
    in_ch: 3
    out_ch: 3
    width : 32 
    enc_blks: [2, 2, 4, 8]
    middle_blk_num: 4
    dec_blks: [2, 2, 2, 2]
    textdim: 256
    weights: False

test:
    batch_size: 1
    num_workers: 3
    
    dn_datapath: "data/denoising_testsets/"
    dn_datasets: ["CBSD68", "urban100", "Kodak24", "McMaster"]
    dn_sigmas: [15, 25, 50]

    rain_targets: ["data/Rain/rain_test/Rain100L/target/"]
    rain_inputs:  ["data/Rain/rain_test/Rain100L/input/"]

    haze_targets: "data/SOTS-OUT/GT/"
    haze_inputs : "data/SOTS-OUT/IN/"

    lol_targets: "data/LOL/eval15/high/"
    lol_inputs : "data/LOL/eval15/low/"

    gopro_targets: "data/gopro_test/GoPro/target/"
    gopro_inputs: "data/gopro_test/GoPro/input/"