Solver.ims_per_batch 2
WebNUM_WORKERS = 2 cfg. MODEL. WEIGHTS = model_weights_path # initialize from model zoo cfg. SOLVER. IMS_PER_BATCH = 2 cfg. SOLVER. BASE_LR = 0.02 cfg. SOLVER. … WebJan 22, 2024 · Suppose. Image count in Dataset: 100 images. SOLVER.MAX_ITER: 100 iterations. SOLVER.IMS_PER_BATCH: 10 images per batch. Does one iteration in …
Solver.ims_per_batch 2
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WebIt does the following: 1. Create a :class:`SimpleTrainer` using model, optimizer, dataloader defined by the given config. Create a LR scheduler defined by the config. 2. Load the last checkpoint or `cfg.MODEL.WEIGHTS`, if exists, when `resume_or_load` is called. 3. Register a few common hooks defined by the config. WebFeb 14, 2024 · SOLVER. IMS_PER_BATCH = 4. 2 cfg. SOLVER. BASE_LR = 0.001. 3 cfg. SOLVER. WARMUP_ITERS = 1000. 4 cfg. SOLVER. MAX_ITER = 1500. 5 cfg. SOLVER. STEPS = (1000, 1500) 6 cfg. SOLVER. GAMMA = 0.05. Except for the standard stuff (batch size, max number of iterations, and learning rate) we have a couple of interesting params:
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