Upload app.py
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app.py
CHANGED
@@ -342,7 +342,8 @@ def infer_brain_cf(*args):
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cf_[k] = (out["cf_pa"][k].mean(0).item() + 1) / 2 * (k_max - k_min) + k_min
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# plots
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# plt.close('all')
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-
effect = cf_x - rec_x
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effect = get_fig_arr(
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effect,
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cmap="RdBu_r",
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@@ -406,10 +407,12 @@ def infer_chest_cf(*args):
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cf_a = out["cf_pa"]["age"].mean(0)
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# post process
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cf_x = postprocess(cf_x)
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-
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cf_x_std = cf_x_std.squeeze().detach().cpu().numpy()
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rec_x = postprocess(rec_x)
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-
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cf_r = RACE_CAT[cf_r.argmax(-1)]
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cf_s = SEX_CAT_CHEST[int(cf_s.item())]
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cf_f = FIND_CAT[cf_f.argmax(-1)] #FIND_CAT[int(cf_f.item())]
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@@ -417,8 +420,8 @@ def infer_chest_cf(*args):
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# plots
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# plt.close('all')
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effect = cf_x - rec_x
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print(effect.max())
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print(effect.min())
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effect = get_fig_arr(
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effect,
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cmap="RdBu_r",
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cf_[k] = (out["cf_pa"][k].mean(0).item() + 1) / 2 * (k_max - k_min) + k_min
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# plots
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# plt.close('all')
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+
# effect = cf_x - rec_x
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effect = cf_x - obs["x"]
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effect = get_fig_arr(
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effect,
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cmap="RdBu_r",
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cf_a = out["cf_pa"]["age"].mean(0)
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# post process
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cf_x = postprocess(cf_x)
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print(cf_x.max())
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print(cf_x.min())
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cf_x_std = cf_x_std.squeeze().detach().cpu().numpy()
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rec_x = postprocess(rec_x)
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print(rec_x.max())
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print(rec_x.min())
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cf_r = RACE_CAT[cf_r.argmax(-1)]
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cf_s = SEX_CAT_CHEST[int(cf_s.item())]
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cf_f = FIND_CAT[cf_f.argmax(-1)] #FIND_CAT[int(cf_f.item())]
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# plots
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# plt.close('all')
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effect = cf_x - rec_x
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# print(effect.max())
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# print(effect.min())
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effect = get_fig_arr(
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effect,
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cmap="RdBu_r",
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