Closed 23 mins ago.

Closed 23 mins ago.

Closed 23 mins ago.

here i am using client.invoke_model,boto3.client,’bedrock-runtime’etc but here i am geting the timestamps as exceeds the video duration like if my video duration is 5 mins but i amgeting timestamps upto 9 mins .here i dont want to download the video i just want to generate timestams

How is everyone? I’m a film industry professional and as everyone probably knows, it sucks to be in this industry at the moment. There’s one thing I’m fascinated by and that’s AI. I don’t believe it’s anywhere near the scary buzzword it’s currently being portrayed as. Personally, I believe it’ll be a great tool for filmmakers who adapt. The problem is, most won’t adapt out of fear.

I want to read the data and convert it into matrix.

It seems that when the line test=model.predict([text]) is executed, your entire project runs six times consecutively, and when you close the opened windows, it makes predictions.
You can see the code snippets below.

I want to increase the accuracy and I have imbalance dataset: akiec: 229, bcc:360, bkl:769,df:81,mel:779,vasc :99. In an effort to address this issue, I opted to integrate a categorical weighted loss mechanism into the model. However, despite this adjustment, I noticed a subsequent decrease in accuracy. This unexpected outcome leads me to suspect an error in the implementation process. Could you please assist me in identifying and resolving any potential mistakes to optimize the performance of my model?