Upload app.py
Browse files
app.py
CHANGED
@@ -342,8 +342,7 @@ def infer_brain_cf(*args):
|
|
342 |
cf_[k] = (out["cf_pa"][k].mean(0).item() + 1) / 2 * (k_max - k_min) + k_min
|
343 |
# plots
|
344 |
# plt.close('all')
|
345 |
-
|
346 |
-
effect = cf_x - obs["x"]
|
347 |
effect = get_fig_arr(
|
348 |
effect,
|
349 |
cmap="RdBu_r",
|
@@ -370,6 +369,7 @@ def infer_chest_cf(*args):
|
|
370 |
n_particles = 16
|
371 |
# preprocessing
|
372 |
obs = DATA[dataset_id]["test"].dataset.__getitem__(int(idx))
|
|
|
373 |
for k, v in obs.items():
|
374 |
obs[k] = v.to(MODELS[dataset_id]["vae_args"].device).float()
|
375 |
if n_particles > 1:
|
@@ -415,10 +415,8 @@ def infer_chest_cf(*args):
|
|
415 |
cf_a = (cf_a.item() + 1) * 50
|
416 |
# plots
|
417 |
# plt.close('all')
|
418 |
-
effect = cf_x - rec_x
|
419 |
-
|
420 |
-
print(effect.max())
|
421 |
-
print(effect.min())
|
422 |
effect = get_fig_arr(
|
423 |
effect,
|
424 |
cmap="RdBu_r",
|
|
|
342 |
cf_[k] = (out["cf_pa"][k].mean(0).item() + 1) / 2 * (k_max - k_min) + k_min
|
343 |
# plots
|
344 |
# plt.close('all')
|
345 |
+
effect = cf_x - rec_x
|
|
|
346 |
effect = get_fig_arr(
|
347 |
effect,
|
348 |
cmap="RdBu_r",
|
|
|
369 |
n_particles = 16
|
370 |
# preprocessing
|
371 |
obs = DATA[dataset_id]["test"].dataset.__getitem__(int(idx))
|
372 |
+
observation = obs['x']
|
373 |
for k, v in obs.items():
|
374 |
obs[k] = v.to(MODELS[dataset_id]["vae_args"].device).float()
|
375 |
if n_particles > 1:
|
|
|
415 |
cf_a = (cf_a.item() + 1) * 50
|
416 |
# plots
|
417 |
# plt.close('all')
|
418 |
+
# effect = cf_x - rec_x
|
419 |
+
effect = cf_x - postprocess(observation)
|
|
|
|
|
420 |
effect = get_fig_arr(
|
421 |
effect,
|
422 |
cmap="RdBu_r",
|