Fix process_video
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07168ecfb4
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7c6c7a8014
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@ -170,7 +170,7 @@ if __name__ == "__main__":
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if recurrent_mode:
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if recurrent_mode:
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data['recurrent'] = recurrent_entry
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data['recurrent'] = recurrent_entry
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model.feed_data(data, need_GT=need_GT)
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model.feed_data(data, 0, need_GT=need_GT)
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model.test()
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model.test()
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visuals = model.get_current_visuals()['rlt']
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visuals = model.get_current_visuals()['rlt']
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@ -336,9 +336,11 @@ class ExtensibleTrainer(BaseModel):
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def get_current_visuals(self, need_GT=True):
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def get_current_visuals(self, need_GT=True):
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# Conforms to an archaic format from MMSR.
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# Conforms to an archaic format from MMSR.
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return {'lq': self.eval_state['lq'][0].float().cpu(),
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res = {'lq': self.eval_state['lq'][0].float().cpu(),
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'hq': self.eval_state['hq'][0].float().cpu(),
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'rlt': self.eval_state[self.opt['eval']['output_state']][0].float().cpu()}
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'rlt': self.eval_state[self.opt['eval']['output_state']][0].float().cpu()}
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if 'hq' in self.eval_state.keys():
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res['hq'] = self.eval_state['hq'][0].float().cpu(),
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return res
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def print_network(self):
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def print_network(self):
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for name, net in self.networks.items():
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for name, net in self.networks.items():
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