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Browse files- __pycache__/predict.cpython-311.pyc +0 -0
- predict.py +3 -3
__pycache__/predict.cpython-311.pyc
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Binary files a/__pycache__/predict.cpython-311.pyc and b/__pycache__/predict.cpython-311.pyc differ
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predict.py
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@@ -174,7 +174,7 @@ def predict_next_frame(ens, context_frames: np.ndarray) -> np.ndarray:
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ens.direct_cache = []
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for i in range(PRED_FRAMES):
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frame = np.transpose(predicted_np[i], (1, 2, 0))
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frame = np.round(frame * 255).clip(0, 255).astype(np.uint8)
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ens.direct_cache.append(frame)
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result = ens.direct_cache[ens.cache_step]
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@@ -240,7 +240,7 @@ def predict_next_frame(ens, context_frames: np.ndarray) -> np.ndarray:
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ens.direct_cache = []
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for i in range(PRED_FRAMES):
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frame = np.transpose(predicted_np[i], (1, 2, 0))
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frame = np.round(frame * 255).clip(0, 255).astype(np.uint8)
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ens.direct_cache.append(frame)
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result = ens.direct_cache[ens.cache_step]
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@@ -272,7 +272,7 @@ def predict_next_frame(ens, context_frames: np.ndarray) -> np.ndarray:
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ens.direct_cache = []
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for i in range(PRED_FRAMES):
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frame = np.transpose(predicted_np[i], (1, 2, 0))
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frame = np.round(frame * 255).clip(0, 255).astype(np.uint8)
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ens.direct_cache.append(frame)
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result = ens.direct_cache[ens.cache_step]
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ens.direct_cache = []
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for i in range(PRED_FRAMES):
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frame = np.transpose(predicted_np[i], (1, 2, 0))
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frame = np.round(frame * 255 + 0.1).clip(0, 255).astype(np.uint8)
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ens.direct_cache.append(frame)
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result = ens.direct_cache[ens.cache_step]
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ens.direct_cache = []
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for i in range(PRED_FRAMES):
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frame = np.transpose(predicted_np[i], (1, 2, 0))
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frame = np.round(frame * 255 + 0.1).clip(0, 255).astype(np.uint8)
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ens.direct_cache.append(frame)
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result = ens.direct_cache[ens.cache_step]
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ens.direct_cache = []
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for i in range(PRED_FRAMES):
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frame = np.transpose(predicted_np[i], (1, 2, 0))
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frame = np.round(frame * 255 + 0.1).clip(0, 255).astype(np.uint8)
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ens.direct_cache.append(frame)
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result = ens.direct_cache[ens.cache_step]
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