initiaö commit

1 files changed, 78 insertions, 0 deletions

diff --git a/scripts/utils/eval_utils.py b/scripts/utils/eval_utils.py
new file mode 100644
index 0000000..faab7ec
--- /dev/null
+++ b/scripts/utils/eval_utils.py
@@ -0,0 +1,78 @@
+import os
+import torch as th
+from model.loci import Loci
+
+def setup_result_folders(file, name, set_test, evaluation_mode, object_view, individual_views):
+
+    net_name = file.split('/')[-1].split('.')[0]
+    #root_path = file.split('nets')[0]
+    root_path = os.path.join(*file.split('/')[0:-1])
+    root_path = os.path.join(root_path, f'results{name}', net_name, set_test['type'])
+    plot_path = os.path.join(root_path, evaluation_mode)
+    
+    # create directories
+    #if os.path.exists(plot_path):
+    #    shutil.rmtree(plot_path)
+    os.makedirs(plot_path, exist_ok = True)
+    if object_view:
+        os.makedirs(os.path.join(plot_path, 'object'), exist_ok = True)
+    if individual_views:
+        os.makedirs(os.path.join(plot_path, 'individual'), exist_ok = True)
+        for group in ['error', 'input', 'background', 'prediction', 'position', 'rawmask', 'mask', 'othermask', 'imagination']:
+            os.makedirs(os.path.join(plot_path, 'individual', group), exist_ok = True)
+    os.makedirs(os.path.join(root_path, 'statistics'), exist_ok = True)
+
+    # final directory
+    plot_path = plot_path + '/'
+    print(f"save plots to {plot_path}")
+
+    return root_path, plot_path
+
+def store_statistics(memory, *args, extend=False):
+    for i,key in enumerate(memory.keys()):
+        if i >= len(args):
+            break
+        if extend:
+            memory[key].extend(args[i])
+        else:
+            memory[key].append(args[i])
+    return memory
+
+def append_statistics(memory1, memory2, ignore=[], extend=False):
+    for key in memory1:
+        if key not in ignore:
+            if extend:
+                memory2[key] = memory2[key] + memory1[key]
+            else:
+                memory2[key].append(memory1[key])
+    return memory2
+
+def load_model(cfg, cfg_net, file, device):
+
+    net = Loci(
+        cfg_net,
+        teacher_forcing    = cfg.defaults.teacher_forcing
+    )
+
+    # load model
+    if file != '':
+        print(f"load {file} to device {device}")
+        state = th.load(file, map_location=device)
+
+        # backward compatibility
+        model = {}
+        for key, value in state["model"].items():
+            # replace update_module with percept_gate_controller in key string:
+            key = key.replace("update_module", "percept_gate_controller")
+            model[key.replace(".module.", ".")] = value
+
+        net.load_state_dict(model)
+
+    # ???
+    if net.get_init_status() < 1:
+        net.inc_init_level()
+    
+    # set network to evaluation mode
+    net = net.to(device=device)
+
+    return net
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