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Commit f501a861 authored by tomrink's avatar tomrink
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modules/deeplearning/cloud_opd_srcnn_viirs.py
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...@@ -735,8 +735,12 @@ def run_evaluate_static(in_file, out_file, ckpt_dir): ...@@ -735,8 +735,12 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
cld_opd_sres = denormalize(cld_opd_sres, label_param, mean_std_dct) cld_opd_sres = denormalize(cld_opd_sres, label_param, mean_std_dct)
_, ylen, xlen, _ = cld_opd_sres.shape _, ylen, xlen, _ = cld_opd_sres.shape
cld_opd_sres_out = np.zeros((LEN_Y, LEN_X), dtype=np.float32) cld_opd_sres_out = np.zeros((LEN_Y, LEN_X), dtype=np.float32)
refl_out = np.zeros((LEN_Y, LEN_X), dtype=np.float32)
cld_opd_out = np.zeros((LEN_Y, LEN_X), dtype=np.float32)
border = int((KERNEL_SIZE - 1) / 2) border = int((KERNEL_SIZE - 1) / 2)
cld_opd_sres_out[border:(border+ylen), border:(border+xlen)] = cld_opd_sres[0, :, :, 0] cld_opd_sres_out[border:(border+ylen), border:(border+xlen)] = cld_opd_sres[0, :, :, 0]
refl_out[0:(ylen+2*border), 0:(xlen+2*border)] = refl[0, :, :]
cld_opd_out[0:(ylen+2*border), 0:(xlen+2*border)] = cld_opd[0, :, :]
if out_file is not None: if out_file is not None:
np.save(out_file, (cld_opd_sres_out, refl, cld_opd)) np.save(out_file, (cld_opd_sres_out, refl, cld_opd))
......
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