From 453b46c3f6e4b93c413a829fe4add22a270f5d0d Mon Sep 17 00:00:00 2001 From: "admin.suherdy" Date: Tue, 30 Sep 2025 03:58:56 +0000 Subject: [PATCH] Update activity_analyzer.py --- activity_analyzer.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/activity_analyzer.py b/activity_analyzer.py index acc6d25..e10f1df 100644 --- a/activity_analyzer.py +++ b/activity_analyzer.py @@ -103,10 +103,11 @@ class ActivityAnalyzer: # Note: This is a placeholder - you would need to select an appropriate model # For example: torch.hub.load('facebookresearch/pytorchvideo', 'slow_r50', pretrained=True) # model = torch.hub.load('facebookresearch/pytorchvideo', 'slow_r50', pretrained=True) - model_name='X3D_L' + model_name='slowfast_r50' model_dir='C:/Users/suherdy.yacob/.cache/torch/hub/checkpoints/' #model = torch.hub.load(repo_or_dir=model_dir,model = model_name, pretrained=True) #model = torch.hub.load(model_dir, model_name, source='local', pretrained=True) + # 'slow_r50', 'x3d_m', x3d_l', 'slowfast_r50', 'slowfast_r101', 'c2d', 'i2d', 'mvit' model = torch.hub.load('facebookresearch/pytorchvideo', 'slow_r50', pretrained=True) # Modify the final layer to match our number of activity classes # This is a simplified approach - in practice you might need a more complex adaptation